Artículos de revistas sobre el tema "Zeno Gandía"

Determining the root of an equation means making the equation equal zero, (f (f) = 0). In engineering, there are often complex mathematical equations. With the numerical method approach, the equation can be searching for the value of the equation root. However, to find a double root approach with several numerical methods such as the bisection method, regulatory method, Newton-Raphson method, and Secant method, it is not efficient in determining multiple roots. This study aims to determine the roots of non-linear equations that have multiple roots using the modified Secant method. Besides knowing the effect of determining the initial value for the Secant method that is modifying in determining the non-linear root of persistence that has multiple roots. Comparisons were also make to other numerical methods in determining twin roots with the modified Secant method. A comparison is done to determine the initial value used. Simulations are performing on equations that have one single root and two or more double roots.

Introduction: Coronavirus disease 2019 (COVID-19) pandemic is a worldwide public health crisis. During huge surge in COVID-19 cases, most of the patient arrived at Rajiv Gandhi Government General Hospital, Chennai were severe due to late presentation and also available evidence demonstrating that the delay in treatment is directly associated with increased mortality or poor patient outcome. As an innovative concept of Zero Delay COVID-19 Ward were set up to provide the required critical care for all severe COVID-19 cases. The experience of setting up of such Zero Delay COVID-19 Ward and profile of admitted COVID-19 patients were described in this paper. Methods: A total of 4515 laboratory-confirmed COVID-19 patients admitted at Zero Delay COVID-19 Ward was analyzed retrospectively from 7th July to 31st December 2020. Results: At the time of admission the frequency of dyspnea were 85.6% among them 99.1% recovered from dyspnea after the oxygen therapy and other management at Zero Delay COVID-19 Ward. Of the 4515 COVID-19 individuals, about 1829 (40.5%) had comorbidity, 227 (5%) had died. Multivariable logistic regression analysis, COVID-19 death was more likely to be associated with comorbidity (OR: 18.687; 95% CI: 11.229-31.1) than other variables. Conclusions: Comorbidity is an independent high risk factor for mortality of COVID-19 patients. From our observation, it is strongly recommended that effective zero delay covid-19 ward model will help for the prevention of mortality in current/expected waves of COVID-19.

Pada zaman pasca modern atau globalisasi sekarang ini,yang sebagian manusianya cenderung mengutamakan kesejahteraan materi dibandingkan kesejahteraan rohani, membuat ekonomi menjadi perhatian yang sangat besar, tidak banyak orang yang mementingkan peningkatan spiritual. Maka di era globalisasi sekarang ini keterpurukan ekonomi di Indonesia akan diterapkan kebijakan dan peraturan yang baru dalam memperbaiki perekonomian bangsa sehingga rakyat yang menderita dapat dengan segera menikmati hasil perekonomian kita yang mapan di masa yang akan datang baik perekonomian yang bersifat makro dan mikro. Perkembangan perekonomian makro berpengaruh sekali dalam bidang pendidikan. Perkembangan lain yang sangat mengembirakan adalah terlaksananya sistem ganda dalam dunia pendidikan, hal ini berlangsung baik di lembaga pendidikan yaitu kerjasama sekolah dengan pihak usahawan dalam proses belajar mengajar. Fungsi ekonomi dalam pendidikan adalah menunjang kelancaran proses pendidikan bukan merupakan modal yang dikembangkan dan juga mendapatkan keuntungan yang berlimpah, Di dalam mengelola dan merencanakan sumber dana, maka ada tiga macam perencanaan biaya pendidikan yaitu: a). Perencanaan sacara tradisional, yaitu merencanakan masing-masing pendidikan maka masing masing pendidikan tersebut ditentukan biayanya; b). SP4 (Sistem Perencanaan Penyusunan Program Dan Penganggaran): Pengaturan jenis-jenis kegiatan dalam pendidikan diatur dalam system, alokasi dana disusun berdasarkan realita, dan semua kegiatan ditujukan pada pencapaian target pendidikan; c). ZBB (Zero Base Budgeting), hanya diatur untuk satu tahun anggaran. Keywords: Ekonomi, Pendidikan, Makro dan Mikro.

Biogas diperoleh dari hasil olahan berbagai materi berbasis pertanian-terna merupakan bioenergi terbarukan (renewable energy), solusi substitusi migas (BBM) hingga ke tingkat industri. Semakin menyusutnya minyak bumi mengharuskan akselerasi penciptaan sumber energi alternatif yang mampu memenuhi kebutuhan energi migas yang semakin meningkat seiring pesatnya pertambahan penduduk dan sektor industri. Manajemen pengolahan dan pemanfaatan limbah pertanian dan peternakan dilakukan juga untuk meminimalisir dampak negatifnya dan memaksimalkan dampak keuntungan serta tetap memperhatikan keseimbangan sistem produksi dengan lingkungan hidup (biogas tidak mengeluarkan asap). Sludge sebagai hasil ikutan merupakan biofertilizer, yang tidak lagi mengundang parasit dan biji gulma, dan pupuk alternatif solusi pencegahan berbagai dampak pencemaran logam berat pada tanah. Dengan metode deduktif kualitatif, tulisan ini bertujuan mengemukakan secara komprehensif perlunya akselerasi penggunaan biogas sebagai pemanfaatan bioenergi untuk dalam rangka mendukung ketahanan energi, pemberdayaan ekonomi dan kelembagaan. Realisasi akselerasi dan efektivitas pengaplikasian biogas sebagai sumber energi alternatif yang relatif ekonomis dan efisien, bahkan dapat menghasilkan pendapatan tambahan dari pendistribusian energi listrik yang dihasilkan biogas ke pengguna lain yang membutuhkannya. Penggunaan biogas memungkinkan pengembangan konsep zero wasted management (dalam SITT) dan pengembangan konsep pertanian berkelanjutan yang mengintegrasikan berbagai aspek sosial ekonomi masyarakat pertanian dan aspek lingkungan. Penggunaan biogas merupakan pilihan tepat sebagai bioenergi dan pupuk, serta diperolehnya keuntungan ganda (multi margin), pemberdayaan ekonomi dan kelestarian lingkungan.

Isu pangan adalah isu global yang sangat penting dalam mendukung tujuan pembangunan yang berkelanjutan/sustainable development goals(SDGs) pada tujuan kedua yaitu zero hunger. Penelitian ini sangat penting dalam rangka mendukung kegiatan swasembada pangan/daging nasional di Indonesia. Tujuan penelitian ini adalah untuk menguraikan dan mengkaji potensi dan peluang hutan tanaman industri (IUPHHK-HTI) dalam mendukung program swasembada daging nasional. Penelitian ini menggunakan pendekatan deskriptif dan dianalisis secara kualitatif. Data penelitian ini diperoleh dari data sekunder yang bersumber dari instansi dan studi pustaka yang terkait dengan topik penelitian ini. Pengolahan data dilakukan setelah data sekunder diperoleh dengan cara mentabulasikannya dan menguraikan sesuai dengan tujuan penelitian. Penelitian dilaksanakan pada Bulan Oktober 2019 dengan sifat desk study. Hasil dari studi ini adalah penerapan swasembada daging (sapi) nasional dengan konsep silvopastura sangat potensial untuk diterapkan di areal hutan tanaman industri (IUPHHK-HTI) dari aspek ekonomi (meningkatkan pendapatan/ekonomi masyarakat), aspek luasan (kecenderunganpeningkatan luasan hutan tanaman industri) yang sangat potensial dipadukan dengan ternak (sapi) karena adanya hubungan mutualisme dan aspek pendanaan (potensi pemanfaatan dana CSR) dari perusahaan yang bergerak di IUPHHK-HTI. Sektor kehutanan dalam hal ini IUPHHK-HTI sangat potensial dalam mendukung swasembada pangan/daging dengan konsep silvopastura dan sebaiknya dipertimbangan untuk dikembangkan di IUPHHK-HTI terutama milik pemerintah untuk selanjutnya dikembangkan ke yang lebih luas. Kementerian LHK harus lebih lebih serius lagi dalam mengelola wanaternak dengan melibatkan stakeholderyang terlibat, meningkatkan peran Unit Manajemen IUPHHK-HTI dengan skema kemitraan dengan masyarakat, mendorong kegiatan CSR ke usaha-usaha produktif dan berdampak ganda, dan pemberian insentif bagi pemegang ijin IUPHHK-HTI yang sukses melaksanakan wanaternak atau silvopastura. Kata kunci: IUPHHK-HTI, pangan, swasembada, daging, potensi

Abstract: This research aims to describe the syntactic errors in the response text of class IX B SMPN 12 Malang. This research uses a descriptive qualitative approach. The data were analyzed using the Miles and Huberman model with three sub activities, namely (1) data reduction, (2) data presentation, and (3) conclusion drawing. The results of the data analysis on the syntactic errors found in the response text of class IX B SMPN 12 Malang took the form of (1) errors at the phrasal level and (2) sentences. Errors at the phrasal level include (1) incorrect use of prepositions, (2) excessive use of elements, (3) inappropriate use of elements, (4) improper wording, and (5) double pluralization. Syntactic errors at the sentence level include (1) ambiguous sentences, (2) illogical sentences, (3) inappropriate use of conjunctions, (4) excessive use of conjunctions, (5) omission of conjunctions, (6) zero-subject sentences, (7) unpredicated sentences, (8) use of prepositions in transitive verbs, (9) use of unnecessary interrogative words, and (10) incomplete sentences. Keywords: language errors, syntax errors, response text Abstrak: Penelitian ini bertujuan mendeskripsikan kesalahan sintaksis dalam teks tanggapan kelas IX B SMPN 12 Malang. Penelitian ini menggunakan pendekatan kualitatif dengan jenis deskriptif. Analisis data menggunakan model Miles dan Huberman dengan tiga alur kegiatan, yaitu (1) reduksi data, (2) penyajian data, dan (3) penarikan kesimpulan. Hasil penelitian kesalahan sintaksis pada teks tanggapan kelas IX B SMPN 12 Malang meliputi (1) kesalahan pada tataran frasa, dan (2) kalimat. Kesalahan pada tataran frasa meliputi (1) kesalahan penggunaan preposisi, (2) penggunaan unsur yang berlebihan, (3) penggunaan unsur yang tidak tepat, (4) susunan kata yang tidak tepat, dan (5) penjamakan ganda. Kesalahan sintaksis pada tataran kalimat meliputi (1) kalimat rancu, (2) kalimat tidak logis, (3) penggunaan konjungsi yang tidak tepat, (4) penggunaan konjungsi yang berlebihan, (5) penghilangan konjungsi, (6) kalimat tidak bersubjek, (7) kalimat tidak berpredikat, (8) penggunaan preposisi pada verba transitif, (9) penggunaan kata tanya tidak perlu, dan (10) kalimat tidak lengkap. Kata kunci: kesalahan berbahasa, kesalahan sintaksis, teks tangga

Background: Rabies is a highly infectious zoonotic disease with a high case fatality rate. In India, approximately 20,000 deaths among 17.4 million exposed people occur every year. The data on animal bites is scarce and unreliable due to poor surveillance and hence, the projected figures are far less from the actual numbers. The present study was conducted to describe epidemiological characteristics of animal bite patients attending casualty department at a tertiary care Government health facility in Shimla, Himachal Pradesh.Methods: It was a retrospective study based on secondary data received from animal bite register for year 2017 at casualty department of the Indira Gandhi Medical College and Hospital, Shimla, Data of 1512 patients attending the casualty department with history of animal bite was included for the study purpose.Results: About 58% of victims were males and the maximum (22.6%) animal bites were seen in 21-30 years age group. Majority (51.6%) of patients were exposed to dog bites, followed by monkey bites (42.85%) and cat bite 49 (3.2%). About 69.9% of animal bites were in the lower limbs, followed by upper limbs (22.1%), abdomen (4.4%) and head and neck region (3.6%). Maximum bites were category III bites (74.6%) followed by of category II bites (12.9%).Conclusions: Study highlights the neglected but significant picture of animal bite in the Shimla city. Timely and correct post exposure prophylaxis for the animal bite victims is necessary to prevent rabies. This should be supplemented with a robust surveillance and reporting system. With the global aim of zero rabies deaths by 2030; it is time to strengthen the anti-rabies activities at every level.

ABSTRAKPenelitian pengembangan ini bertujuan untuk menghasilkan produk berupa perangkat pembelajaran model quantum learning untuk meningkatkan hasil belajar fisika peserta didik. Desain penelitian yang digunakan adalah model 4D yang terdiri dari Define, Design, Develop, dan Disseminate. Produk yang dikembangkan berupa silabus, rencana pelaksanaan pembelajaran, lembar kerja peserta didik, instrumen tes berupa soal dan video pembelajaran. Pengumpulan data menggunakan lembar validasi dan soal pilihan ganda. Validitas produk dianalisis dengan menentukan nilai Content Validity Index (CVI) dan reliabilitas produk ditentukan berdasarkan nilai Percentage Agreement (PA). Peningkatan hasil belajar fisika dianalisis dengan menentukan standar gain dari hasil pretest dan posttest. Silabus, rencana pelaksanaan pembelajaran, lembar kerja peserta didik, soal tes dan video pembelajaran memiliki nilai CVI lebih besar dari nol sehingga kualitasnya masuk dalam kategori sangat baik. Silabus, rencana pelaksanaan pembelajaran, lembar kerja peserta didik, soal tes dan video pembelajaran memiliki nilai Percentage Agreement (PA)di atas 75%, ini menunjukkan bahwa keseluruhan aspek yang dinilai termasuk dalam kategori reliabel. Hasil belajar fisika mengalami peningkatan dengan nilai gain sebesar 0,114. Berdasarkan hasil tersebut dapat disimpulkan bahwa perangkat pembelajaran yang dikembangkan layak dan efektif digunakan untuk meningkatkan hasil belajar fisika peserta didik. Kata kunci: perangkat pembelajaran; model quantum learning; hasil belajar fisika. ABSTRACTThis development research aims to produce a product in the form of a quantum learning model to improve students' physics learning outcomes. The research design used was a 4D model consisting of Define, Design, Develop, and Disseminate. Products developed in the form of a syllabus, lesson plans, student worksheets, test instruments in the form of questions and learning videos. Data collection using validation sheets and multiple choice questions. Product validity is analyzed by determining the value of the Content Validity Index (CVI) and product reliability is determined based on the value of the Percentage Agreement (PA). The improvement of physics learning outcomes was analyzed by determining the standard gain from the pretest and posttest results. The syllabus, lesson plans, student worksheets, test questions and learning videos have a CVI value greater than zero so that the quality is in the very good category. The syllabus, lesson plans, student worksheets, test questions and learning videos have a Percentage Agreement (PA) value above 75%, this indicates that all the aspects assessed fall into the reliable category. Physics learning outcomes have increased with a gain value of 0.114. Based on these results it can be concluded that the learning tools developed are feasible and effective to use to improve students' physics learning outcomes. Keywords: learning devices; quantum learning models; physics learning outcomes.

Journal of Mathematics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated. Many authors, regardless of whether Journal of Mathematics Research publishes their work, appreciate the helpful feedback provided by the reviewers. Reviewers for Volume 11, Number 6   Abimbola Abolarinwa, Landmark University, Nigeria Cibele Cristina Trinca Watanabe, Federal University of Tocantins (UFT), Brazil Denis Khleborodov, Lomonosov Moscow State University, Russia Francisco Bulnes, Research Department in Mathematics and Engineering, TESCHA, Mexico Gabriela Ciuperca, University Lyon 1, France Gane Sam Lo, Universite Gaston Berger de Saint-Louis, Senegal Gener Santiago Subia, Wesleyan University, Philippines Jalal Hatem, Baghdad University, Iraq Maria Alessandra Ragusa, University of Catania, Italy Martin Anokye, University of Cape Coast, Ghana Mashadi Ali, Riau University, Indonesia Meltem Erden Ege, Manisa Celal Bayar University, Turkey Mohammad A. AlQudah, German Jordanian University, Jordan Mohammad Sajid, Qassim University, Saudi Arabia Mustapha El Moudden, Moulay Ismail University, Morocco Omur Deveci, Kafkas University, Turkey Özen ÖZER, Kirklareli University, Turkey Philip Yordanoff Philipoff, Bulgarian Academy of Sciences, Bulgaria Rami Ahmad El-Nabulsi, Athens Institute for Education and Research, Greece Rosalio G. Artes, Jr., Mindanao State University, Philippines Sanjib Kumar Datta, University of Kalyani, India Sergiy Koshkin, University of Houston Downtown, USA Vishnu Narayan Mishra, Indira Gandhi National Tribal University, India Xinyun Zhu, University of Texas of the Permian Basin, USA   Sophia Wang On behalf of, The Editorial Board of Journal of Mathematics Research Canadian Center of Science and Education

Osteoarthritis is the most common form of arthritis and a leading cause of chronic disability, to a great extent in knee and/or hip joints. Osteoarthritis, commonly known as wear and tear in which a protective cartilage on the end of the bones wears down over time. osteoarthritis of the knees is one of five leading causes for disability among non-institutionalized adults. Osteoarthritis is the fourth leading cause of 'years lived with disability' (YLD), accounting for 3.0% of totals global YLD's. As per WHO by 2030. The most common symptoms of knee osteoarthritis are pain and physical limitations that have a significant effect on the individual's quality of life and her or his social and economic activities. Osteoarthritis diseases are a result of both mechanical and biological events that destabilize the normal biological coupling of degradation and synthesis of articular cartilage, chondrocytes, extracellular matrix, subchondral bone and subsequently synovial fluid. Current research efforts are focused on the identification of key biochemical pathways that can be targeted therapeutically through biological intervention for cartilage repair. Autologous platelet-rich plasma (PRP), which contains a pool of growth factors, appears to offer an easy solution for delivering multiple growth factors needed for tissue repair. PRP therapy provides delivery of a highly concentrated of growth factors to accelerate healing. The present study has been undertaken in Gandhi Medical College, Hospital, Hyderabad, Telangana, India to study the role of PRP in the osteoarthritis of knee joint. In this study PRP from the patient’s own blood i.e. autologous PRP has been immediately infiltrated into their knee joints with osteoarthritis and the results of injection of PRP have been observed and assess the functional outcome. It is a prospective longitudinal study on 100 patients with 161 primary osteoarthritic knee joints of Kellgren Lawrence radiological grade I-61 and II - 100. Patients were assessed with WOMAC (Western Ontario McMaster Universities Arthritis Index) scoring pre injection of PRP and post injection period of 1 month and 6 months. A reduction in WOMAC score is suggestive of improvement in the patient’s condition. In this study, the pain scores of the patients have decreased on the day of infiltration to one month and six months. Their mean scores have decreased from the day of infiltration to one month and six months. All the patients have started showing improvement at around two weeks and over all, the pain intensity has decreased in severity. It can be concluded that the efficacy of the PRP treatment from zero day to sixth month is statistically significant.

Abstrak: Penelitian ini merupakan penelitian kuantitatif dengan menggunakan pendekatan eksperimen dalam bentuk quasi eksperimen. Berdasarkan hipotesis yang diajukan peneliti, untuk melakukan penelitian terhadap yang diajukan peneliti, peneiti menggunakan pendekatan quasi eksperimen dengan desain non randomize pretes-posttest control group.Tujuan penelitian ini adalah untuk mengetahui Studi tentang hasil belajar PKn siswa kelas XI SMAN 2 WOHA Bima menggunakan model pembelajaran inkuiri terbimbing dengan model pembelajaran inkuiri training Tahun pelajaran 2016/2017, Populasi dalam penelitian ini adalah semua siswa kelas XI SMAN 2 Woha. Sampel penelitian diambil dengan teknik simple random sampling dengan cara undian, kelas XI IPA 2 ditentukan sebagai eksperimen dan kelas XI IPA 3 sebagai kelas kontrol. Instrumen yang digunakan berupa tes objektif dalam bentuk pilihan ganda yang telah diuji kelayakannya sebanyak 30 soal, terdapat 20 soal yang valid, dimana 20 soal pre-test dan 20 soal post-test yang telah diuji kelayakkannya.Teknik analisis data digunakan uji persyaratan analisis yang meliputi uji homogenitas dan uji normalitas, sedangkan uji hipotesis yang digunakan adalah uji t-tes. Berdasarkan hasil perhitungan uji normalitas post-test data diperoleh x2hitung= 5,144 dan x2tabel = 11,070 denganx2hitung= 5.144 dan x2tabel =11.070. Karena x2hitung< x2tabelmaka kedua sampel berdistribusi normal pada taraf signifikan 5%. Berdasarkan hasil perhitungan uji homogenitas post-test data diperoleh fhitung= 1.24 dan ftabel = 2,04. Karena fhitung< ftabelmaka varians kedua sampel homogen. Pada uji hipotesis uji t-tes diperoleh nilai post-test thitung = 14.559 dan ttebel = 2,000 (thitung > ttebel) dengan tthitung = 14.559 dan ttebel = 2,000 yang menunjukan hipotesis nol (Ho) ditolak dan hipotesis alternatif (Ha) diterima, sehingga terdapat perbedaan. Penelitian ini dapat disimpulkan bahwa ada Perbedaan Studi tentang hasil belajar pkn siswa kelas XI SMAN 2 WOHA Bima menggunakan model pembelajaran inkuiri terbimbing dengan model pembelajaran inkuiri training Tahun pelajaran 2016/2017. Abstract: This research represent quantitative research by using approach of experiment in the form of experiment quasi. Pursuant to raised by hypothesis is researcher, to conduct research to which is raised by researcher, researcher use approach of experiment quasi with desain of non group control pretes-posttest randomize.Target of this research is to know Influence Between Model Study Of Inkuiri Guided With Model Study Of Inkuiri Training To Result Learn PKn Student Class of XI SMAN 2 Woha School Year 2016/2017. Population in this research is all class student of XI SMAN 2 Woha. Research Sampel taken with technique of simple sampling random by toss, class of XI IPA 2 determined as class experiment and class of XI IPA 3 as control class. used instrument in the form of objective tes in the form of double helix which have been tested by elegibility of him counted 30 problem, there are 20 valid problem, where 20 problem of pre-test and 20 problem of post-test which have been tested him.Technique analyse data used by test conditions of analysis covering homogeneity test and test of normalitas, while hypothesis test the used is test t. Pursuant to result of calculation of test of normalitas data post-test obtained. x2count = 5,144 and x2table= 11,070 with x2count = 5.144 and x2table=11.070. Because x2count < x2table hence both sampel have normal distribution to at level of signifikan 5%. Pursuant to result of calculation of homogeneity test of post-test data obtained. fcount = 1.24 and ftable= 2,04. Because fcount < ftable hence varians both of homogeneous sampel. At test hypothesis test t-test post-test is obtained by value tcount = 14.559 and tteble = 2,000 (tcount> ttable) with tcount = 14.559 and tteble = 2,000 which is hypothesis showing zero (Ho) refused and alternative hypothesis (Ha) accepted, so that there are difference. This research can be concluded by that there is Difference Of Influence Between Model Study Of Inkuiri Guided With Model Study Of Inkuiri Training To Result Learn PKN Student Class of XI SMAN 2 Woha School Year 2016.

A field study was conducted during rabi seasons of 2010-11 and 2011-12 at the Research cum Instructional Farm of Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh to evaluate the effect of various tillage and weed management techniques on energy dynamics and profitability of chickpea-rice cropping sequence in irrigated ecosystem of C.G. plains. The results indicate that plots were divided into main and sub plots (tillage and weed management practices). Three tillage practices viz., conventional tillage (T1), minimum tillage (T2) and zero tillage (T3) in main plot and nine weed management practices as pendimethalin @ 1000 g ha-1 PE (W1), imazethapyr @ 80 g ha-1 PE (W2), imazethapyr @ 90 g ha-1 PE (W3), imazethapyr @ 100 g ha-1 PE (W4) at 2 DAS, imazethapyr @ 70 g ha-1 POE (W5), imazethapyr @ 80 g ha-1 POE (W6), imazethapyr @ 90 g ha-1 POE (W7) at 20 DAS, one hand weeding at 20 DAS (W8) and weedy check (W9), in sub plots. Among the various tillage practices, maximum energy use efficiency 3.74 q MJ-1 × 10-3 ha-1 and energy productivity 160.34 kg MJ-1 ha-1 were obtained with conventional tillage (T1) followed by minimum tillage (T2) and zero tillage (T3) and among the different weed control methods, maximum energy use efficiency 5.46 q MJ-1 × 10-3 ha-1 and energy productivity 233.37 kg MJ-1 ha-1 were found with one hand weeding at 20 DAS (W8) followed by post-emergence application of imazethapyr @ 90 g ha-1 (W7) followed by imazethapyr @ 80 g ha-1 PoE (W6). The economic production of experiment in terms of net return was maximum under (T1) conventional tillage Rs.19824.21 ha-1 with B:C ratio 1.19 and (W8) one hand weeding at 20 DAS Rs.19171.44 ha-1 with B:C ratio 0.95 and this was followed by @ 90 g ha-1 imazethapyr, where net return Rs.19086.74 ha-1 and B:C ratio 1.04. The minimum net return and B:C ratio was observed under zero tillage (T3) and weedy check (W9).

Looking forward, 2020 will be a time of some retribution for digital initiatives and that is eventually uplifting news. 2020 will even now observe the fast scaling of advanced activities across businesses. The previous barely any a long time in business have been described by a progression of basic moves in the manner organizations work and structure themselves. As they continued looking for more prominent efficiencies, economies of scale or lower costs, organizations have held onto patterns, for example, redistributing, offshoring, and mergers and acquisitions, while fast mechanical advancement has changed the manner in which data is shared and imparted, and the manner in which business cycles and exchanges are directed. In spite of the fact that patterns, for example, offshoring, mergers and acquisitions, and enormous scope IT ventures can have various targets and require various aptitudes, they are largely instances of business change. Each kind of task expects heads to set clear goals, to guarantee that those points are perceived by everybody in the association, and to zero in cautiously on the usage stage so the destinations are accomplished. To put it plainly, each venture is tied in with overseeing huge scope change – something that in the present exceptionally circulated, worldwide association is a perplexing and requesting undertaking. In light of an overview and methodical surveys investigates the patterns that are driving business change and takes a gander at the difficulties and openings introduced by this indispensable part of contemporary business.

Alex Abou-Chebl, MD Michael Abraham, MD Joseph E. Acker, III, EMT-P, MPH Robert Adams, MD, MS, FAHA Eric Adelman, MD Opeolu Adeoye, MD DeAnna L. Adkins, PhD Maria Aguilar, MD Absar Ahmed, MD Naveed Akhtar, MD Rufus Akinyemi, MBBS, MSc, MWACP, FMCP(Nig) Karen C. Albright, DO, MPH Felipe Albuquerque, MD Andrei V. Alexandrov, MD Abdulnasser Alhajeri, MD Latisha Ali, MD Nabil J. Alkayed, MD, PhD, FAHA Amer Alshekhlee, MD, MSc Irfan Altafullah, MD Arun Paul Amar, MD Pierre Amarenco, MD, FAHA, FAAN Sepideh Amin-Hanjani, MD, FAANS, FACS, FAHA Catherine Amlie-Lefond, MD Aaron M. Anderson, MD David C. Anderson, MD, FAHA Sameer A. Ansari, MD, PhD Ken Arai, PhD Agnieszka Ardelt, MD, PhD Juan Arenillas, MD PhD William Armstead, PhD, FAHA Jennifer L. Armstrong-Wells, MD, MPH Negar Asdaghi, MD, MSc, FRCPC Nancy D. Ashley, APRN,BC, CEN,CCRN,CNRN Stephen Ashwal, MD Andrew Asimos, MD Rand Askalan, MD, PhD Kjell Asplund, MD Richard P. Atkinson, MD, FAHA Issam A. Awad, MD, MSc, FACS, MA (hon) Hakan Ay, MD, FAHA Michael Ayad, MD, PhD Cenk Ayata, MD Aamir Badruddin, MD Hee Joon Bae, MD, PhD Mark Bain, MD Tamilyn Bakas, PhD, RN, FAHA, FAAN Frank Barone, BA, DPhil Andrew Barreto, MD William G. Barsan, MD, FACEP, FAHA Nicolas G. Bazan, MD, PhD Kyra Becker, MD, FAHA Ludmila Belayev, MD Rodney Bell, MD Andrei B. Belousov, PhD Susan L. Benedict, MD Larry Benowitz, PhD Rohit Bhatia, MBBS, MD, DM, DNB Pratik Bhattacharya, MD MPh James A. Bibb, PhD Jose Biller, MD, FACP, FAAN, FAHA Randie Black Schaffer, MD, MA Kristine Blackham, MD Bernadette Boden-Albala, DrPH Cesar Borlongan, MA, PhD Susana M. Bowling, MD Monique M. B. Breteler, MD, PhD Jonathan Brisman, MD Allan L. Brook, MD, FSIR Robert D. Brown, MD, MPH Devin L. Brown, MD, MS Ketan R. Bulsara, MD James Burke, MD Cheryl Bushnell, MD, MHSc, FAHA Ken Butcher, MD, PhD, FRCPC Livia Candelise, MD S Thomas Carmichael, MD, PhD Bob S. Carter, MD, PhD Angel Chamorro, MD, PhD Pak H. Chan, PhD, FAHA Seemant Chaturvedi, MD, FAHA, FAAN Peng Roc Chen, MD Jun Chen, MD Eric Cheng, MD, MS Huimahn Alex Choi, MD Sherry Chou, MD, MMSc Michael Chow, MD, FRCS(C), MPH Marilyn Cipolla, PhD, MS, FAHA Kevin Cockroft, MD, MSc, FACS Domingos Coiteiro, MD Alexander Coon, MD Robert Cooney, MD Shelagh B. Coutts, BSc, MB.ChB., MD, FRCPC, FRCP(Glasg.) Elizabeth Crago, RN, MSN Steven C. Cramer, MD Carolyn Cronin, MD, PhD Dewitte T. Cross, MD Salvador Cruz-Flores, MD, FAHA Brett L. Cucchiara, MD, FAHA Guilherme Dabus, MD M Ziad Darkhabani, MD Stephen M. Davis, MD, FRCP, Edin FRACP, FAHA Deidre De Silva, MBBS, MRCP Amir R. Dehdashti, MD Gregory J. del Zoppo, MD, MS, FAHA Bart M. Demaerschalk, MD, MSc, FRCPC Andrew M. Demchuk, MD Andrew J. DeNardo, MD Laurent Derex, MD, PhD Gabrielle deVeber, MD Helen Dewey, MB, BS, PhD, FRACP, FAFRM(RACP) Mandip Dhamoon, MD, MPH Orlando Diaz, MD Martin Dichgans, MD Rick M. Dijkhuizen, PhD Michael Diringer, MD Jodi Dodds, MD Eamon Dolan, MD, MRCPI Amish Doshi, MD Dariush Dowlatshahi, MD, PhD, FRCPC Alexander Dressel, MD Carole Dufouil, MD Dylan Edwards, PhD Mitchell Elkind, MD, MS, FAAN Matthias Endres, MD Joey English, MD, PhD Conrado J. Estol, MD, PhD Mustapha Ezzeddine, MD, FAHA Susan C. Fagan, PharmD, FAHA Pierre B. Fayad, MD, FAHA Wende Fedder, RN, MBA, FAHA Valery Feigin, MD, PhD Johanna Fifi, MD Jessica Filosa, PhD David Fiorella, MD, PhD Urs Fischer, MD, MSc Matthew L. Flaherty, MD Christian Foerch, MD Gregg C. Fonarow, MD, FAHA Andria Ford, MD Christine Fox, MD, MAS Isabel Fragata, MD Justin Fraser, MD Don Frei, MD Gary H. Friday, MD, MPH, FAAN, FAHA Neil Friedman, MBChB Michael Froehler, MD, PhD Chirag D. Gandhi, MD Hannah Gardener, ScD Madeline Geraghty, MD Daniel P. Gibson, MD Glen Gillen, EdD, OTR James Kyle Goddard, III, MD Daniel A. Godoy, MD, FCCM Joshua Goldstein, MD, PhD, FAHA Nicole R. Gonzales, MD Hector Gonzalez, PhD Marlis Gonzalez-Fernandez, MD, PhD Philip B. Gorelick, MD, MPH, FAHA Matthew Gounis, PhD Prasanthi Govindarajan, MD Manu Goyal, MD, MSc Glenn D. Graham, MD, PhD Armin J. Grau, MD, PhD Joel Greenberg, PhD, FAHA Steven M. Greenberg, MD, PhD, FAHA David M. Greer, MD, MA, FCCM James C. Grotta, MD, FAHA Jaime Grutzendler, MD Rishi Gupta, MD Andrew Gyorke, MD Mary N. Haan, MPH, DrPH Roman Haberl, MD Maree Hackett, PhD Elliot Clark Haley, MD, FAHA Hen Hallevi, MD Edith Hamel, PhD Graeme J. Hankey, MBBS, MD, FRCP, FRCP, FRACP Amer Haque, MD Richard L. Harvey, MD Don Heck, MD Cathy M. Helgason, MD Thomas Hemmen, MD, PhD Dirk M. Hermann, MD Marta Hernandez, MD Paco Herson, PhD Michael D. Hill, MD, MSc, FRCPC Nancy K. Hills, PhD, MBA Robin C. Hilsabeck, PhD, ABPP-CN Judith A. Hinchey, MD, MS, FAHA Robert G. Holloway, MD, MPH William Holloway, MD Sherril K. Hopper, RN Jonathan Hosey, MD, FAAN George Howard, DPH, FAHA Virginia J. Howard, PhD, FAHA David Huang, MD, PhD Daniel Huddle, DO Richard L. Hughes, MD, FAHA, FAAN Lynn Hundley, RN, MSN, ARNP, CCRN, CNRN, CCNS Patricia D. Hurn, PhD, FAHA Muhammad Shazam Hussain, MD, FRCPC Costantino Iadecola, MD Rebecca N. Ichord, MD M. Arfan Ikram, MD Kachi Illoh, MD Pascal Jabbour, MD Bharathi D. Jagadeesan, MD Vivek Jain, MD Dara G. Jamieson, MD, FAHA Brian T. Jankowitz, MD Edward C. Jauch, MD, MS, FAHA, FACEP David Jeck, MD Sayona John, MD Karen C. Johnston, MD, FAHA S Claiborne Johnston, MD, FAHA Jukka Jolkkonen, PhD Stephen C. Jones, PhD, SM, BSc Theresa Jones, PhD Anne Joutel, MD, PhD Tudor G. Jovin, MD Mouhammed R. Kabbani, MD Yasha Kadkhodayan, MD Mary A. Kalafut, MD, FAHA Amit Kansara, MD Moira Kapral, MD, MS Navaz P. Karanjia, MD Wendy Kartje, MD, PhD Carlos S. Kase, MD, FAHA Scott E. Kasner, MD, MS, FAHA Markku Kaste, MD, PhD, FESO, FAHA Prasad Katakam, MD, PhD Zvonimir S. Katusic, MD Irene Katzan, MD, MS, FAHA James E. Kelly, MD Michael Kelly, MD, PhD, FRCSC Peter J. Kelly, MD, MS, FRCPI, ABPN (Dip) Margaret Kelly-Hayes, EdD, RN, FAAN David M. Kent, MD Thomas A. Kent, MD Walter Kernan, MD Salomeh Keyhani, MD, MPH Alexander Khalessi, MD, MS Nadia Khan, MD, FRCPC, MSc Naim Naji Khoury, MD, MS Chelsea Kidwell, MD, FAHA Anthony Kim, MD Howard S. Kirshner, MD, FAHA Adam Kirton, MD, MSc, FRCPC Brett M. Kissela, MD Takanari Kitazono, MD, PhD Steven Kittner, MD, MPH Jeffrey Kleim, PhD Dawn Kleindorfer, MD, FAHA N. Jennifer Klinedinst, PhD, MPH, MSN, RN William Knight, MD Adam Kobayashi, MD, PhD Sebastian Koch, MD Raymond C. Koehler, PhD, FAHA Ines P. Koerner, MD, PhD Martin Köhrmann, MD Anneli Kolk, PhD, MD John B. Kostis, MD Tobias Kurth, MD, ScD Peter Kvamme, MD Eduardo Labat, MD, DABR Daniel T. Lackland, BA, DPH, FAHA Kamakshi Lakshminarayan, MD, PhD Joseph C. LaManna, PhD Catherine E. Lang, PT, PhD Maarten G. Lansberg, MD, PhD, MS Giuseppe Lanzino, MD Paul A. Lapchak, PhD, FAHA Sean Lavine, MD Ronald M. Lazar, PhD Marc Lazzaro, MD Jin-Moo Lee, MD, PhD Meng Lee, MD Ting-Yim Lee, PhD Erica Leifheit-Limson, PhD Enrique Leira, MD, FAHA Deborah Levine, MD, MPh Joshua M. Levine, MD Steven R. Levine, MD Christopher Lewandowski, MD Daniel J. Licht, MD Judith H. Lichtman, PhD, MPH David S. Liebeskind, MD, FAHA Shao-Pow Lin, MD, PhD Weili Lin, PhD Ute Lindauer, PhD Italo Linfante, MD Lynda Lisabeth, PhD, FAHA Alice Liskay, RN, BSN, MPA, CCRC Warren Lo, MD W. T. Longstreth, MD, MPH, FAHA George A. Lopez, MD, PhD David Loy, MD, PhD Andreas R. Luft, MD Helmi Lutsep, MD, FAHA William Mack, MD Mark MacKay, MBBS, FRACP Jennifer Juhl Majersik, MD Marc D. Malkoff, MD, FAHA Randolph S. Marshall, MD John H. Martin, PhD Alexander Mason, MD Masayasu Matsumoto, MD, PhD Elizabeth Mayeda, MPH William G. Mayhan, PhD Avi Mazumdar, MD Louise D. McCullough, MD, PhD Erin McDonough, MD Lisa Merck, MD, MPH James F. Meschia, MD, FAHA Steven R. Messe, MD Joseph Mettenburg, MD,PhD William Meurer, MD BA Brett C. Meyer, MD Robert Mikulik, MD, PhD James M. Milburn, MD Kazuo Minematsu, MD, PhD J Mocco, MD, MS Yousef Mohammad, MD MSc FAAN Mahendranath Moharir, MD, MSc, FRACP Carlos A. Molina, MD Joan Montaner, MD PhD Majaz Moonis, MD, MRCP Christopher J. Moran, MD Henry Moyle, MD, PhD Susanne Muehlschlegel, MD, MPH Susanne Muehlschlegel, MD, MPH Yuichi Murayama, MD Stephanie J. Murphy, VMD, PhD, DACLAM, FAHA Fadi Nahab, MD Andrew M. Naidech, MD, MPh Ashish Nanda, MD Sandra Narayanan, MD William Neil, MD Edwin Nemoto, PhD, FAHA Lauren M. Nentwich, MD Perry P. Ng, MD Al C. Ngai, PhD Andrew D. Nguyen, MD, PhD Thanh Nguyen, MD, FRCPC Mai Nguyen-Huynh, MD, MAS Raul G. Nogueira, MD Bo Norrving, MD Robin Novakovic, MD Thaddeus Nowak, PhD David Nyenhuis, PhD Michelle C. Odden, PhD Michael O'Dell, MD Christopher S. Ogilvy, MD Jamary Oliveira-Filho, MD, PhD Jean Marc Olivot, MD, PhD Brian O'Neil, MD, FACEP Bruce Ovbiagele, MD, MSc, FAHA Shahram Oveisgharan, MD Mayowa Owolabi, MBBS,MWACP,FMCP Aditya S. Pandey, MD Dhruvil J. Pandya, MD Nancy D. Papesh, BSN, RN, CFRN, EMT-B Helena Parfenova, PhD Min S. Park, MD Matthew S. Parsons, MD Aman B. Patel, MD Srinivas Peddi, MD Joanne Penko, MS, MPH Miguel A. Perez-Pinzon, PhD, FAHA Paola Pergami, MD, PhD Michael Phipps, MD Anna M. Planas, PhD Octavio Pontes-Neto, MD Shyam Prabhakaran, MD, MS Kameshwar Prasad, MD, DM, MMSc, FRCP, FAMS Charles Prestigiacomo, MD, FAANS, FACS G. Lee Pride, MD Janet Prvu Bettger, ScD, FAHA Volker Puetz, MD, PhD Svetlana Pundik, MD Terence Quinn, MD, MRCP, MBChb (hons), BSc (hons) Alejandro Rabinstein, MD Mubeen Rafay, MB.BS, FCPS, MSc Preeti Raghavan, MD Venkatakrishna Rajajee, MD Kumar Rajamani, MD Peter A. Rasmussen, MD Kumar Reddy, MD Michael J. Reding, MD Bruce R. Reed, PhD Mathew J. Reeves, BVSc, PhD, FAHA Martin Reis, MD Marc Ribo, MD, PhD David Rodriguez-Luna, MD, PhD Charles Romero, MD Jonathan Rosand, MD Gary A. Rosenberg, MD Michael Ross, MD, FACEP Natalia S. Rost, MD, MA Elliot J. Roth, MD, FAHA Christianne L. Roumie, MD, MPH Marilyn M. Rymer, MD, FAHA Ralph L. Sacco, MS, MD, FAAN, FAHA Edgar A. Samaniego, MD, MS Navdeep Sangha, BS, MD Nerses Sanossian, MD Lauren Sansing, MD, MSTR Gustavo Saposnik, MD, MSc, FAHA Eric Sauvageau, MD Jeffrey L. Saver, MD, FAHA, FAAN Sean I. Savitz, MD, FAHA Judith D. Schaechter, PhD Lee H. Schwamm, MD, FAHA Phillip Scott, MD, FAHA Magdy Selim, MD, PhD, FAHA Warren R. Selman, MD, FAHA Souvik Sen, MD, MS, MPH, FAHA Frank Sharp, MD, FAHA, FAAN George Shaw, MD, PhD Kevin N. Sheth, MD Vilaas Shetty, MD Joshua Shimony, MD, PhD Yukito Shinohara, MD, PhD Ashfaq Shuaib, MD, FAHA Lori A. Shutter, MD Cathy A. Sila, MD, FAAN Gisele S. Silva, MD Brian Silver, MD Daniel E. Singer, MD Robert Singer, MD Aneesh B. Singhal, MD Lesli Skolarus, MD Eric E. Smith, MD Sabrina E. Smith, MD, PhD Christopher Sobey, PhD, FAHA J David Spence, MD Christian Stapf, MD Joel Stein, MD Michael F. Stiefel, MD, PhD Sophia Sundararajan, MD, PhD David Tanne, MD Robert W. Tarr, MD Turgut Tatlisumak, MD, PhD, FAHA, FESO Charles H. Tegeler, MD Mohamed S. Teleb, MD Fernando Testai, MD, PhD Ajith Thomas, MD Stephen Thomas, MD, MPH Bradford B. Thompson, MD Amanda Thrift, PhD, PGDipBiostat David Tong, MD Michel Torbey, MD, MPH, FCCM, FAHA Emmanuel Touze, MD, PhD Amytis Towfighi, MD Richard J. Traystman, PhD, FAHA Margaret F. Tremwel, MD, PhD, FAHA Brian Trimble, MD Georgios Tsivgoulis, MD Tanya Turan, MD, FAHA Aquilla S. Turk, DO Michael Tymianski, MD, PhD, FRCSC Philippa Tyrrell, MB, MD, FRCP Shinichiro Uchiyama, MD, FAHA Luis Vaca, MD Renee Van Stavern, MD Susan J. Vannucci, PhD Dale Vaslow, MD, PHD Zena Vexler, PhD Barbara Vickrey, MD, MPH Ryan Viets, MD Anand Viswanathan, MD, PhD Salina Waddy, MD Kenneth R. Wagner, PhD Lawrence R. 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