bluuebunny/crossref_metadata_2025 huggingface dataset:
The effect of NPK 16-6-23 fertilizer dosage on the growth and yield of the rice Inpari 30 in Bangkalan regency, East Java
Authors: Aisyawati Lina , Aziz Fuad Nur , Syafitri Winda , Ndaru Ratih Kusumasari , Latifa Evy
Published: August 2021

Comprehensive site-specific fertilization dose is an essential factor to increase crop production. Fertilizer dose application should be based on the nutrient content in soil and plant, type and quality of fertilizer, and the climate. This study was aimed to determine the effect of unbalanced compound fertilizer NPK 16-6-23 at various doses to rice crops growth and yield Inpari 30 in Bangkalan regency. This research was conducted from June to October 2016. The rice varieties were Inpari 30 planted with legowo 2: 1 row system. The study used 8 different treatments : (1) without fertilizer, (2) standard dose of 200 kg per ha Urea and 300 kg per ha NPK 15-15-15, (3) 200 kg per ha NPK 16-6-23, (4) 300 kg per ha NPK 16-6-23, (5) 400 kg per ha NPK 16-6-23, (6) 200 kg per ha Urea plus 200 kg per ha NPK 16-6-23, (7) 200 kg per ha Urea plus 300 kg/ha NPK 16-6-23, and (8) 100 kg per ha Urea plus 400 kg per ha NPK 16-6-23. The study used a randomized complete block design with 3 replications. The parameters were observed by plant height, number of productive tillers, panicle length, number of grain per panicle, number of filled and empty grain per panicle, percentage of filled grain, 1000 seed weight, and productivity. The results showed that 200 kg per ha Urea plus 300 kg per ha NPK 16-6-23 produced the highest plant growth on 50 DAP (77.83 cm), a low number of empty grain (11.84), a high percentage of filled grain (90.7 percent), and high production (7.29 t per ha). This treatment has agronomically higher effectiveness compared to standard doses with RAE value of 196.61 percent. This fertilizer dose is highly recommended for farmers to increase Inpari 30 rice crops in Bangkalan.
Sequence analysis of 18SrDNA gene from sagoplast degrading fungi
Authors: Gunaedi Tri , Mawardi Arsyam
Published: August 2021

The bioplastic can be made from sago flour and known as sagoplast. It was widely known that for making bioplastic, the addition of acetic acid and glycerol are needed. Products that are air-dried are easy to grow fungi within a few weeks. This makes the basis for researchers to undestand more about the character and identity of the sagoplast degrading fungi. Characterization and identification were carried out by observed morphology and analyzing the 18SrDNA gene sequence of fungal isolates that had grown on the sagoplast. Fungal isolates morphology showed yellowish-orange color with white thread-like mycelia and a blackish brown mace with white thread-shaped mycelia. These characters of fungal morphology that similar with Aspergillus. The gene sequences of the fungal isolates were aligned with reference gene sequences of the fungi obtained from the Gen Bank of the National Center for Biotechnology Information (NCBI). Sequence data analysis was performed by using the Clustal X program to determine the kinship and taxonomy of the fungal isolates that able to degrade sagoplast. The result showed that two fungal isolates, DFSP.J1 and DFSP.J4, were found and demonstrated their ability for degrading sagoplast. Isolate DFSP.J1 is related to Aspergillus flavus strain PSU2 LC127086.1, while isolate DFSP.J4 is related to Aspergillus niger IFO4033 D63697.1.
Potential study of Dillenia serrata Thunb. fruit extract from Bali Botanical Garden’s collection
Authors: Wibawa I Putu Agus Hendra , Lugrayasa I Nyoman , Sutomo Sutomo
Published: August 2021

Dillenia serrata Thunb.is a member of the Dillenia clan which is endemic to Sulawesi. D. serrata fruit is a seasonal fruit and can be used as a cooking ingredient as a sour taste, raw material for several food products such as candied fruit and syrup, and has the potential to be processed into chips and jam. Traditionally, the leaves and bark of D. serrata are also used by the local community as a sprue medicine, fever, wound medicine, treating swelling or inflammation and treating vomiting of blood. It is believed that there are still many untapped benefits from this plant. This study was conducted to determine the effectiveness of D. serrata fruit extract as an antimicrobial that causes disease in humans, and to determine its effectiveness as an antioxidant. The antioxidant test was carried out using the DPPH method while the antimicrobial test was carried out by the agar diffusion method (Kirby-Bauer). The ripe Dillenia fruit was extracted using methanol, the extract was then diluted in various concentrations for the DPPH test. The results showed that the D. serrata extract had the ability as an antioxidant. The antioxidant activity of fresh fruit extracts was higher than that of dried fruit extracts. D. serrata extract is effective in inhibiting the growth of Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus mutans bacteria.
Wiping out the covid-19 pandemic through bioinformatics: a review on database and web tools applications
Authors: Sumantri Nur Imaniati , Anju Nagisa Eremia , Rahman Siti Fauziyah
Published: August 2021

The COVID-19 is an illness caused by SARS-CoV-2 that has ended up a widespread since March 2020 as declared by WHO. This condition gives a huge impact on miscellaneous sectors enforcing advance use of technology and information system, especially in scientific and medical community. Bioinformatics as a multidisciplinary method plays important role to overcome the COVID-19 outbreak in the early-stage through data exchange in virtual databases. There are a number of free access databases containing basic to complex information of SARS-CoV-2, such as genetic data sequence, epidemiology, evolutionary analysis, pharmacology, and so on. Bioinformatics allows us to analyze the data further to reveal new information applied in biomedical technology activities. Thus, bioinformatics helps the scientists, clinicians, and government learn the genomic characteristics of SARS-CoV-2, to trace the SARS-CoV-2 spread, and select and develop biomarker for reliable diagnostic tools, and design the drug and vaccine for SARS-CoV-2. This review aims to view insights on uses of bioinformatics methods and the databases related to SARS-CoV-2
Floral biology and breeding system of endangered species: Parmentiera cereifera Seem. (Bignoniaceae)
Authors: Damaiyani Janis
Published: August 2021

Parmentiera cereifera Seem. is an endangered species in the family Bignoniaceae. Related to the conservation effort, information about the reproductive biology of this species is very limited. Based on that, the objectives of this study were to provide knowledge about the reproductive properties such as floral biology and breeding system of P. cereifera. The research was conducted at Purwodadi Botanic Garden, from October 2019 to February 2021. Several important aspects of reproductive biology, including flower biology, pollen viability and stigma receptivity, pollen morphology and breeding system were investigated. The viability was tested with TTC (2, 3, 5–triphenly tetrazolium chloride) and stigma reseptivity was tested with hydrogen peroxide. The breeding system was determined based on outcrossing index (OCI) using Cruden's method. The results showed that P. cereifera flower was monoecious, had morphological character that supported nocturnal pollination. Stigma and anthers spatially separated, but there was no temporal separation of stigma receptivity and anther dehiscence. Based on the flower biology, the pollen ornamentation (reticulate type), and the Out-Crossing Index (OCI=4), the breeding system was outcrossing but partially self-compatible, required pollinators (zoophily)
Validación de un instrumento que mide el perfil actitudinal de los docentes y el desarrollo de competencias universitarias y transversales
Authors: Espinosa-Solís Josué Israel , Pizarro Norma , Parra-Acosta Haydeé , González-Carrillo Eliazar , Talavera-Sánchez Oscar Joel , Bueno-Acuña Gerardo
Published: August 2021

En el presente artículo se describen los resultados de la validación de un instrumento que mide el perfil actitudinal de los docentes y el desarrollo de competencias universitarias y transversales, iniciativa que surgió debido a que no se halló un instrumento específico para evaluar de forma integrada las actitudes del docente y las competencias de los estudiantes de la carrera Odontología. Metodológicamente, se planteó un estudio cuantitativo que se desarrolló por procedimiento deductivo. Para ello, se diseñaron dos instrumentos dirigidos a docentes y estudiantes que comprendieron un total de 117 y 118 ítems. Para la validación de contenido se empleó el juicio de expertos, los cuales valoraron su univocidad y pertinencia con base en Carrera, Vaquero y Balsells (2011). La validación de consistencia interna fue mediante el alfa de Cronbach, según las indicaciones de Hernández Sampieri y Mendoza (2018). En los resultados se observó, de acuerdo con los índices de univocidad (IU) y pertinencia (IP), que 109 ítems conservaron su redacción original, ocho fueron modificados y tres se eliminaron. El resultado de confiabilidad del cuestionario fue α = .972 para el cuestionario de docentes y α = .989 para el de estudiantes. Por ende, se puede concluir que se consiguió un instrumento de medición con alto nivel de confiabilidad, lo que garantiza que la información recabada se pueda generalizar a la población objetivo.
PENGEMBANGAN BAHAN AJAR DENGAN MODEL GROUP INVESTIGATION (GI) PADA MATERI BANGUN DATAR SEGIEMPAT
Authors: Arbayanti Arbayanti , Sthephani Aulia , Abdurrahman Abdurrahman , Istikomah Endang
Published: August 2021

Penelitian ini bertujuan untuk menghasilkan suatu produk berupa Rencana Pelaksanaan Pembelajaran (RPP) dan Lembar Kerja Peserta Didik (LKPD) yang valid dengan menggunakan model pembelajaran Groups Investigation (GI) pada materi bangun datar segiempat. Metode penelitian ini adalah Research and Development (R&D) yang langkah-langkahnya telah dimodifikasi yaitu: (1) Potensi dan Masalah; (2) Pengumpulan Data; (3) Desain produk; (4) Validasi Desain; (5) Revisi Desain; dan (6) Produk Akhir. Instrumen pengumpulan data pada penelitian ini adalah lembar validasi RPP dan lembar validasi LKPD. Teknik pengumpulan data yang digunakan adalah data validasi dari 4 validator yang terdiri dari 2 orang Dosen Matematika FKIP UIR dan 2 orang Guru Matematika SMP PGRI Pekanbaru. Teknik analisis yang digunakan adalah teknik analisis data validasi. Hasil penelitian pengembangan perangkat pembelajaran ini validitas RPP adalah 91,94% dan validitas LKPD adalah 91,14% yang mana memenuhi kriteria sangat valid. Maka berdasarkan hasil penelitian ini diperoleh perangkat pembelajaran dengan kriteria sangat valid atau dapat digunakan tanpa revisi.
Küresel İklim Değişikliğinin Bolu’da Bazı İklim Parametreleri ve İklim Tiplerine Etkisi
Authors: KOÇ İsmail
Published: August 2021

Günümüzün en önemli sorunu olan küresel iklim değişikliğinin dünyadaki tüm canlılar üzerinde doğrudan ya da dolaylı etkisi vardır. Bu çalışma kapsamında Bolu ilinin küresel iklim değişikliğine bağlı olarak sıcaklık, yağış ve bunlara bağlı olarak da iklim yapısında meydana gelebilecek değişikliklerin RCP 45 ve RCP 85 senaryoları kullanılarak günümüzdeki durum ile 2050 ve 2070 yıllarındaki durum karşılaştırılmış, bu süreçte sıcaklık ve yağış ile bunlara bağlı olarak De Martonne, Lang ve Emberger iklim sınıflandırmasına göre iklim tiplerindeki meydana gelebilecek değişiklikler belirlenmiştir. Çalışma sonuçları gelecek yıllarda Bolu il genelinde sıcaklık, yağış ve bunlara bağlı olarak iklim sınıflarında önemli ölçüde değişiklik olacağını göstermektedir. Bu değişikliğin özellikle sıcaklık artışı şeklinde olacağı ve bu durumun iklim tipinde çok sert değişikliklere sebep olacağı öngörülmektedir. Çalışma sonuçlarına göre De Martonne iklim sınıflandırmasına göre günümüzde il genelinin yaklaşık %43,94’ünde nemli ve %27,16’sında çok nemli iklim hüküm sürerken 2070 yılında RCP 45 senaryosuna göre ilin yaklaşık %33,49’u nemli ve %17,71’inde çok nemli, RCP 85 senaryosuna göre ise ilin yaklaşık %35,21’i nemli ve %8,97’si de çok nemli iklimin etkisi altında olacaktır. Benzer şekilde Lang iklim sınıflandırmasına göre günümüzde Bolu’nun sadece %0,71’inde kurak iklim hüküm sürerken 2070 yılında bu oran RCP 45 senaryosuna göre %18,17 ve RCP 85 senaryosuna göre ise %30,41 seviyesine çıkacaktır.
PENGARUH LINGKUNGAN KERJA DAN DISIPLIN KERJA TERHADAP KINERJA PEGAWAI DINAS PERINDUSTRIAN DAN PERDAGANGAN KABUPATEN INDRAGIRI HILIR
Authors: Nanda Ria Bayu Sedih
Published: August 2021

Menciptakan kinerja pegawai dalam organisasi adalah sangat penting karena secara langsung maupun tidak langsung akan mempengaruhi produktivitas kerja pegawai dalam suatu organisasi atau instansi. Tujuan penelitian ini adalah untuk mengetahui pengaruh lingkungan kerja dan disiplin kerja terhadap kinerja. Metode dalam penelitian ini adalah deskriptif kuantitatif dengan regresi linier berganda. Penelitian ini menggunakan SPSS versi 23,2019. Penelitian ini menggunakan teknik sampling jenuh atau metode sensus, maka terpilihlah 46 orang yang menjadi responden, teknik pengambilan sampel menggunakan teknik sampling jenuh atau metode sensus dan analisis data yang digunakan dalam penelitian adalah metode regresi linear berganda dengan hasil  Y= 4,418 + 0,501X1 + 0,186X2 + e. Hasil penelitian ini menunjukkan bahwa variabel independen yaitu lingkungan kerja mempunyai hubungan yang positif dan signifikan terhadap variabel dependen yaitu kinerja pegawai dinas perindustrian dan perdagangan kabupaten Indragiri hilir.. R2pada penelitian ini adalah sebesar 47,4 atas kinerja pegawai dinas perindustrian dan perdagangan kabupaten Indragiri hilir, sementara sisanya 52,6% dijelaskan oleh variabel lain yang tidak dimasukkan dalam penelitian ini.
IMPLEMENTASI KEBIJAKAN PROGRAM NASIONAL PEMBERDAYAAN MASYARAKAT (PNPM) MANDIRI DALAM PENGENTASAN KEMISKINAN DI DISTRIK MAKBON KABUPATEN SORONG
Authors: Pakpahan Ratna Rosmauli , Osok Yolanda Maria
Published: August 2021

Penelitian ini dilatarbelakangi oleh dampak dari pelaksanaan program pembangunan pemberdayaan masyarakat yang telah di lakukan termasuk program PNPM Mandiri perdesaan Sehubungan dengan itu, maka penelitian ini bertujuan untuk mengetahui makna pemberdayaan, mengetahui tahapan implementasi kebijakan PNPM mandiri perdesaan, dan untuk mengetahui dampak implementasi kebijakan program PNPM mandiri perdesaan terhadap pengentasan kemiskinan di Distrik Makbon Kabupaten Sorong. Pengumpulan data dilakukan melalui pengamatan, wawancara mendalam dan dokumentasi. Metode penelitian yang digunakan yaitu metode penelitian kualitatif  kemudian di paparkan secara deskriptif. Jenis sumber data yang digunakan yaitu data primer dan data sekunder. Hasil penelitian menunjukkan bahwa ada beberapa tahap dalam proses pelaksanaan program PNPM Mandiri di Distrik Makbon Kabupaten Sorong  yaitu tahap pertama,pemberian sosialisasi kepada masyarakat dari tingkat Distrik, Kampung dan khusus perempuan. Tahap kedua Perencanaan dan penetapan prioritas usulan sesuai dengan gagasan yang disampaikan oleh masyarakat. Tahap ketiga penjaringan aspirasi masyarakat dalam mencari program yang sesuai dengan tuntutan masyarakat. Tahap keempat yaitu proses pelaksanaan program PNPM Mandiri. Dampak program PNPM terhadap pemberdayaan masyarakat dalam pengentasan kemiskinan sudah signifikan baik dalam peningkatan produktivitas, pendapatan petani maupun pemberdayaan ekonomi masyarakat. Pelaksanaan PNPM mandiri di Distrik Makbon Kabupaten Sorong menunjukkan keberhasilan dan kriteria-kriteria dengan rata-rata baik.
IMPLEMENTASI PROGRAM JARING PENGAMAN SOSIAL PADA MASA PANDEMI COVID-19 DI PEKANBARU
Authors: Nasrah Hidayati , Irdayanti Irdayanti , Nesneri Yessi , Hidayati Fitri
Published: August 2021

AbstractThis research describes how the social safety net program, especially during the pandemic Corona virus in Pekanbaru, which has been going on for quite long. The method used in this research is a qualitative with descriptive analysis. Data collection techniques used were interviews, observation and documents related to the implementation of the assistance program. Furthermore, the data is processed through triangulation techniques. To analyze this implementation policy, the implementation theory of Van Meter and Van Horn is used by looking at 6 indicators of success they are goals, resources, implementing agents, implementing agent attitudes, agent communication and external environment. The results show that the implementation of the assistance program during the Covid-19 pandemic has been running from April  2020 to Desember 20202 when the program objectives were set. However, there is no similarity in implementation based on procedures due to factors, including the expansion of several sub-districts and the absence of a standard measure of success in implementing this assistance program in Pekanbaru.
PELAKSANAAN PEMBELAJARAN BERBASIS ONLINE (MEDIA GOOGLE CLASSROOM) DALAM TANGGAP WORK FROM HOME MASA PANDEMI VIRUS COVID-19 DI FAKULTAS EKONOMI DAN ILMU SOSIAL UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU
Authors: Chandra Pivit Septiary
Published: August 2021

The application of learning with the online system is a consequence of the spread of the Covid-19 Virus in the world of education. Google Classroom is a medium to help educators / teachers in the learning process. This has also been applied in the Faculty of Economics and Social Sciences. There are potential obstacles in the online learning process using google classroom in Uin Suska riau environment, therefore researchers are interested in researching the application of the learning system using Google classroom. This study used a descriptive qualitative method with survey techniques. The study was conducted on October 5, 2020, December 15, 2020, with the number of respondents as many as 390 students in the Faculty of Economics and Social Sciences, UIN Suska Riau. Data obtained through questions distributed to all respondents in the form of google form then the data is analyzed with a description description. The result of the research is that Google Classromm media really helps educators and teachers to continue to carry out the learning process in the midst of the Covid-19 virus epidemic, but there needs to be attention to the quality of learning when learning is carried out in a long distance Most of Fekonsos students of  UIN SUSKA Riau still do not feel that they understand the knowledge conveyed by learning using Google Classroom.Keyword: online learning, google classroom, covid-19 virus
Strategi Kebijakan Pengelolaan Rumah Susun Sewa Bagi Masyarakat Berpenghasilan Rendah di Kota Serang: Pendekatan Analisis SWOT – QSPM
Authors: Sururi Ahmad , Hasanah Budi , Sukendar Sukendar
Published: August 2021

Artikel ini mendiskusikan kondisi eksisting pengelolaan Rusunawa dan bagaimana strategi kebijakan pemerintah Kota Serang Indonesia dalam pengelolaan Rumah Susun Sewa (Rusunawa) bagi Masyarakat Berpenghasilan Rendah (MBR). Metode penelitian menggunakan metode campuran (mix method research). Teknik pengumpulan data melalui observasi dan wawancara terhadap 12 responden yang berasal dari Dinas Perumahan dan Kawasan Permukiman Kota Serang dan MBR penghuni Rusunawa di Kota Serang. Analisis data secara kualitatif menggunakan analisis deskriptif, sedangkan secara kuantitatif menggunakan analisis SWOT dan QSPM. Hasil penelitian menunjukkan bahwa nilai matriks EFE adalah 3.490 dan matriks IFE sebesar 2,278. Dengan demikian berdasarkan analisis SWOT perhitungan matriks EI diperoleh perbandingan EFE : IFE = 3,490 : 2.278 jatuh pada sel I dan V. Keputusan strategis yang dilakukan adalah melalui EFE dan mempertahankan strategi kebijakan IFE. Sedangkan hasil analisis QSPM menunjukkan total skor kemenarikan (TAS) pada faktor eksternal (2,947) lebih besar dari TAS faktor internal (2,226). Hal ini menunjukkan bahwa keputusan strategi kebijakan yang tepat adalah memanfaatkan loyalitas masyarakat umum terhadap program rusunawa dan dukungan masyarakat sekitar objek rusunawa. Kemudian faktor strategis eksternal diperoleh nilai TAS terbesar pada pelaksanaan sistem dan prosedur sering ada hambatan dan lemahnya kerjasama lintas sektoral (0,225).
Workshop Pengolahan Pembuatan TeKo (Susu Tempe Kopi) pada Acara Research Camp bersama SMA Kebon Dalem Semarang
Authors: Murti Paulus Damar Bayu , Hapsari Martina Widhi , Anggraeni Novia , Kuspradanarto Raka Bachtiar , Mahardika Geraldus Tegar
Published: August 2021

This community services activity was addressed at students of SMA Kebon Dalem, Semarang city through a workshop on the processing of making TeKo (coffee tempeh milk) at the Research Camp event. The activity was carried out in the form of training on the processing of making TeKo and being a jury in journal presentations from SMA Kebon Dalem students. Tempe is a local agricultural product from Indonesia which is now worldwide due to its high protein content. The purpose of this service activity is to introduce local products that can be processed into functional drinks. The method used during the service is online through google meet, where the material from the workshop was explained first as an introduction then a TeKo processing demo was carried out. In the service activity, representatives from SMA Kebon Dalem were also invited to taste the results of the TeKo demo. The reception from respondents was very good regarding TeKo which can be used as a functional drink for those who do not like tempe itself.
Pojok Gizi di Festival Buah Provinsi Jawa Tengah 2020
Authors: Harumi Mellia , Meiliana Meiliana
Published: August 2021

Pengabdian Masyarakat Pojok Gizi pada kegiatan Festival Buah Provinsi Jawa Tengah kepada pengunjung stand Fakultas Teknologi Pertanian Unika Soegijapranata bertujuan untuk memberikan pengetahuan dan saran kepada pengunjung terkait gizi sehat dan seimbang yang diperlukan. Metode yang digunakan pada kegiatan ini adalah pengukuran berat dan tinggi badan serta konsultasi gizi. Melalui kegiatan ini diharapkan masyarakat mampu memahami pentingnya gizi seimbang serta mampu memilih makanan yang sehat.
Pendampingan Pembenahan dan Pengelolaan Rumah Dataku dan Informasi Keluarga Kampung Keluarga Berkualitas (KB) Kelurahan Kauman Kidul Salatiga
Authors: Ari Yeremia Sabatani , Gari Wendy Wijaya T. , Mardiyanto Muhamad Dwi , Jessica Aurelia , Wulandari Nurayu , Purnomo Daru
Published: August 2021

Pengabdian dan pemberdayaan masyarakat merupakan kegiatan yang berusaha memberikan kemajuan bagi kesejahteraan masyarakat dan mencerdaskan kehidupan bangsa. Dalam artikel ini pengabdian dan pemberdayaan masyarakat melalui kegiatan Praktek Lapangan Terpadu (PLT) akan memaparkan kegiatan pembenahan klasifikasi Rumah Data Kependudukan dan Informasi Keluarga, pendamping inputting data dan pembuatan format variabel data serta pembuatan akun sosial media dan video profil Kampung KB Teratai. Berdasarkan hasil praktek lapangan yang dilakukan, pembenahan dan pendampingan ini memberikan manfaat bagi pengurus Rumah Data dan Kampung KB dimana para pengurus mendapatkan pemahaman yang lebih dalam akan inputting data secara digital dengan didukung oleh kelengkapan format data yang ada, tersedianya tempat untuk melakukan verifikasi, analisis dan pengarsipan data serta adanya media promosi kegiatan dan potensi wisata yang ada di Kauman Kidul.
COVID-19 and Tuberculosis Coinfection: A Report of Two Cases
Authors:   Director Professor, Department of Medicine, Maulana Azad Medical College, New Delhi, India, Daga Mradul Kumar
Published: August 2021

COVID-19 and its sequelae are primarily known to affect the respiratory system. However, it can have varied manifestations affecting other systems as well. COVID-19 can lead to reactivation of tuberculosis which can have unusual extrapulmonary presentations as well. Coinfection of COVID-19 and tuberculosis is a risk factor for poor outcome. Here, we describe a series of two cases of COVID-19 with tuberculosis. In the first case, a patient who had apparently recovered from COVID-19 presented only a week later with polyserositis, and ultimately was diagnosed to be a case of disseminated tuberculosis. In the second case, the patient presented with COVID-19 and TB together. Clinicians must be aware and vigilant for this coinfection and complication in COVID-19 recovered patients even if they were of mild/ asymptomatic category.
A New Characterization of Exponential Distribution through Minimum Chi-Squared Divergence Principle
Authors:   Faculty of Graduate Studies for Statistical Research (FGSSR), Cairo University, Cairo, Egypt, Kamel Amr Ragab Rabie
Published: August 2021

In this paper, a new characterizing theorems of exponential distribution based on minimum chi-Squared divergence principle are presented. We study minimum chi-squared divergence probability distributions by this principle given a prior exponential distribution and the available information on moments. Some illustrative examples are included for special values of the parameters. We tabulated the results and the corresponding characteristics of the distribution are graphically, compared.
Various Themes in Sarojini Naidu’s Poetry
Authors:   (Faculty of English), Shershah College Engg., Sasarm, Bihar, Chouhan Sandhya
Published: August 2021

Sarojini Naidu is the most lyrical of the Indian English poet. Because of the sweetness and musicality of hor verse, she was fondly called by Mahatma Gandhi “the nightingale of India.” In the early phase of her poetic corear, she was anamored by British romantic poets and imitated them in her poetry. But on the advice of Edmund Morris, she tried to reveal the heart of India romantically, lyrically and sensuously. Consequently, she published three volumes of the poem: “The Golden Threshold” [1905]. ‘The Bird of Time’ [1912] and ‘The Broken Wing’ [1917]. These volumes were highly praised by the western literary magzines like ‘The Time’, ‘The Glasgow Horald’, ‘The New York Times’.
Writing Style of R. K. Narayan
Authors:   S.R.P. Girl’s [+2] School, Kankarbagh, Patna, Sinha Arti
Published: August 2021

R. K. Narayan was among the first Indian English writers to be taken note of the West. With a clever use of just the right amount of humour, Narayan was able to transform his seemingly ordinary characters into larger-than-lite individuals, who brought a change in the existing social and political structures of Malgudi, a microcosmic representation of our nation. And, with this, he inspired us to think, dream and write differently to delive into a magical reality for better than the one we know. His works are often considered synonymous with the innocence of childhood, and even today the social undertones of his writing echo the complexities of the Indian society.
Bhabani Bhattacharya as a Novelist: A New Approach
Authors:   Author [English], Vidya Publications, Patna, Bihar, India, Priydarshi Ashok Kumar
Published: August 2021

Bhabani Bhattacharya, the Sahitya Academy Award winner is among the major Indian novelists writing in English. His literary fame is not confined to India alone. His books have been translated into 26 languages, including 16 European languages. Being a humanist, he is greatly moved by the poverty, hunger and sufferings of the people. In his novels, he has exposed the various social evils of modern men hunger for food and freedom, prostitution, exploitation, superstition, hoarding of foodgrains etc.
India Foundation for Education Transformation: Its Service to the Society
Authors:   Principal, BGS World School, Bangaluru, Karnataka, India, Mandal Ranjit Kumar
Published: August 2021

Skill is the most important component in education which makes a person capable of earning his or her livelihood. The system of education takes care of the development of school skills among the children in the schools. But the spread of pandemic Covid-19 has drastically disrupted every aspects of human life including education and impacted the skill development process has also been impacted. It has created an unprecedented test on education. Outbreak of COVID-19 has impacted more than 120 crores of students and youths across the planet. In India, more than 32 crores of students have been affected by the various restrictions and the nationwide lockdown for COVID-19. In many educational institutions around the world, campuses are closed, and teaching-learning has moved online. In India many schools were quick to react but to a limited extend. While many schools in the cities have adapted to online teaching schools in the remotest areas did not have the resources to get on the starting grid. Here the India Foundation for Education Transformation moved in a contributed its bit.
Nutritional Properties and Utilization of Cowpea Seeds, Leaves and Their Health Benefits
Authors:   SRF, Department of Food and Nutrition, College of Home Science and CAAST-NC Project, CSA University of Agriculture and Technology, Kanpur, Uttar Pradesh, India, Devi Suman
Published: August 2021

In India, 69% death of below the age of 5 years children is caused by malnutrition. This age group of children same effect every second child through the malnutrition according to UNICEF, 2019. Malnutrition is a condition where the body is deprived of minimum daily nourishment. India is ranked second in having malnourished children. Cookies are one of the most popular snacks and most popular worldwide. It can be fortified with various nutrients. Grain legumes play an important role in human nutrition; these can be used as a very easy vehicle for providing the proteins needed by the population. Vigna unguiculata (Cowpea) is an important protein source, which can be cooked plain, mixed with other foods or processed into different formulated recipes. Cookies can be easily fortified with protein-rich flours to provide convenience food to supplement protein in the diet. Cowpea cookies are beneficial to health and combat the malnutrition. In the present study, protein-rich cookies from cowpea have been developed. Legume is a very good source of proteins, fibre and minerals such as calcium and iron. This study can help industries to develop functional foods and gluten-free food products, which will help researchers to further, explore the possibilities of the development of functional foods utilizing low-cost legumes.
The impact of fencing training symmetrisation on simple reaction time
Authors: Johne Monika
Published: August 2021

Study aim: The symmetrisation of movements can be a way to develop individual coordinative skills, and to prevent the occur-rence of injuries. For this reason, in this study an attempt was made to evaluate and compare simple reaction time and movement time for épée fencers of different sports classes, and to determine the impact that three years of symmetrisation training and unilateral training have on the speed of reaction components and on dynamical asymmetry.

Material and methods: The study was conducted on 60 women épée fencers of different sports classes, and it was repeated in two groups after three years of unilateral and symmetrisation training. Simple reaction time and movement time for the dominant and the non-dominant hand were analysed using Vienna Test System.

Results: Women épée fencers of high sports class were characterised by a significantly faster reaction time than their less experienced colleagues. In tests conducted after three years of symmetrisation training, athletes from the experimental group achieved also much better results in reaction time (RT) than those from the control group training with the unilateral method.

Conclusions: Long-time unilateral training of master class women épée fencers led to dynamical asymmetry, which in the future could cause injuries and have a negative impact on the development of selected motor skills. Symmetrical training conducted in the experimental group had a positive impact on reaction time indicators as well as on movement time indicators, and it prevented the occurrence of dynamical asymmetry in the tested competitors. Thus, it can be inferred that symmetrical exercises will have a positive impact on training effectiveness and on versatility of athletes.
Prison Ships
Authors: Jarvis Robert M.
Published: August 2021

In 2026, New York City plans to close the VERNON C. BAIN, America’s only currently-operating prison ship. Although prison ships have a long history, both in the United States and elsewhere, surprisingly little has been written about them. Accordingly, this article first provides a detailed overview of prison ships. It then surveys the U.S. case law generated by them.
Pancreatic malignancy in the backdrop of chronic pancreatitis: How much to push the boundaries to achieve R0 resection
Authors: Joshi Kunal Sadanand , Bodepudi Sisir , Ganapathi Santhosh Kumar , Murugesan Chandrasekar , Balu Jagan , Subramanian Sankar
Published: August 2021

Tumors of the body and tail of the pancreas are often more aggressive than tumors of the head and would have often undergone metastatic spread to other organs at the time of diagnosis. Most patients with carcinoma of the body and tail of the pancreas present at a late stage. Surgery is only indicated in those patients in whom there is no evidence of metastatic spread. Surgery is often not possible in cancers of the body and tail of the pancreas if the tumor invades celiac artery. Controversy exists regarding the margin status impact of microscopic resection margin involvement (R1) after pancreaticoduodenectomy (PD) for PDAC. There are reports indicating the rate of R1 resections increases significantly after PD if pathological examination is standardized. In this report, we present the case of a 56-year-old female who had undergone lateral pancreaticojejunostomy for chronic pancreatitis 8 years ago, but has now developed malignancy of the body and tail of the pancreas involving multiple organs. This patient underwent en bloc resection involving: 1. distal pancreatectomy with jejunal loop (lateral pancreaticojejunostomy) resection; 2. splenectomy; 3. left nephrectomy; 4. total gastrectomy; and 5. segmental colectomy with reconstruction by esophagojejunostomy, jejunojejunostomy, and colocolic anastomosis. The infrequent occurrence of tumor in the distal gland and advanced tumor stage at the time of diagnosis have both combined to produce therapeutic nihilism/dilemma in the minds of many surgeons. This report highlights the decision on how much to the push limits for multi-organ resection (en bloc resection with distal pancreatectomy, gastrectomy, splenectomy, colectomy, nephrectomy) with the intent of achieving R0 status in spite of the complexity of surgery in selected patients.
The evolving role of PARP inhibitors in advanced ovarian cancer
Authors: Levva Sofia , Skolariki Aglaia , Sogka Eleni , Bokas Alexandros , Assi Avraam , Pispirigou Marianna K. , Koliou Panagiotis
Published: August 2021

The field of ovarian cancer has been revolutionized with the use of poly (ADP-ribose) polymerase (PARP) inhibitors, which present greater inhibition effect in epithelial subtype due to high rates of homologous recombination deficiency. PARP inhibition exploits this cancer pitfall by disrupting DNA repair, leading to genomic instability and apoptosis. Three PARP inhibitors (olaparib, niraparib, and rucaparib) are now approved for use in women with epithelial ovarian cancer, while others are under development. Among women with BRCA1/2 mutations, maintenance PARP therapy has led to a nearly fourfold prolongation of PFS, while those without BRCA1/2 mutations experience an approximately twofold increase in PFS. Differences in trial design, patient selection and primary analysis population affect the conclusions on PARP inhibitors. Limited OS data have been published and there is also limited experience regarding long-term safety. With regard to toxicity profile, there are no differences in serious adverse events between the experimental and control groups. However, combining adverse event data from maintenance phases, a trend towards more events in the experimental group, compared with controls, has been shown. The mechanisms of PARP-inhibitor resistance include restoration of HR through reversion mutations in HR genes, leading to resumed HR function. Other mechanisms that sustain sufficient DNA repair are discussed as well. PARP inhibitors play a pivotal role in the management of ovarian cancer, affecting the future treatment choices. Defining exactly which patients will benefit from them is a challenge and the need for HRD testing to define ‘BRCA-ness’ will add additional costs to treatment.
The Power of Reputation: A Case Study on Artistic Directors of Austria's Music Festivals
Authors: Kalser-Gruber Martina
Published: August 2021

Reputation represents the standing of a person or organisation in the public field and illustrates/marks their contribution towards the implementation of collectively shared values and goals. From a business point of view, reputation belongs to the intangible assets of a company and is therefore part of the goodwill. Especially, the leader of an organisation—particularly in a cultural enterprise—shapes the external public image of the organisation, studies the impact of the image on the public consciousness by assessing public opinion about the organisation's achievements and consequently also gauges the economic and/or artistic success of the organisation.

Based on the statements of experts about music festivals of high culture in Austria alongside the big players such as Salzburg or Bregenz Festival, the aim of this paper is to investigate the relationship between reputation of artistic directors (ADs) and the performance of cultural enterprises. It will also be demonstrated how the reputation of these individuals has an impact on tourism, hospitality and trade in the vicinity of cultural enterprises.
Benefits, challenges and opportunities of corporate sustainability
Authors: Jacobo-Hernandez Carlos , Jaimes-Valdez Miguel , Ochoa-Jiménez Sergio
Published: August 2021

The topic of corporate sustainability has gained importance in recent years; unfortunately, confusion persists as to what it represents for businesses and academics. This review of the literature aims to analyse concepts and models related to corporate sustainability and to emphasize the most representative recent findings regarding the benefits, challenges, and opportunities of corporate sustainability. First, a series of benefits are identified, including improved quality, image and reputation for organizations. Second, challenges are recognized, such as the high cost of investment and the lack of consideration of cultural factors, collaboration and innovation. Opportunities are then presented, for example, the implementation of sustainability through life cycle management, the “Eden Project” and analysis of strengths, weaknesses, opportunities and threats (SWOT), among others. Finally, the need to achieve the benefits, take advantage of the opportunities and face the challenges of corporate sustainability in order to balance environmental, social and economic development is highlighted.
Analysis of the impact of training on the performance of Small and Medium-sized enterprises in Northwest Mexico, by applying the Structural Equations Statistical Technique (SEM-PLS)
Authors: Vásquez-Torres María , Salazar Arturo , López José
Published: August 2021

Small and medium enterprises (SMEs) are fundamental to the economy of all countries, representing the majority, with a considerable contribution to GDP, as well as generating jobs; for this reason, it must seek to remain in the market. The objective is to analyze the impact of training on the organizational performance of SMEs in northwestern Mexico, applying the statistical technique of structural equations model (SEM-PLS); the research was conducted to 195, considering the commercial, industrial and services, is a quantitative study, descriptive, correlational, causal, using the statistical technique of structural equations with the SMART PLS 3.3.2 software, and not experimental cross-sectional. The alternative hypothesis is accepted, since training has an effect on the organizational performance of SMEs in northwestern Mexico. It is highly significant because there is very strong evidence of the causality of the mediating variable training on the organizational performance of SMEs with 99.9% reliability. Training has the greatest effect on organizational performance because each unit that increases training will have an effect of +0.453, being the variable with the greatest cause-effect impact on organizational performance in SMEs in northwestern Mexico.
DeepME: Deep Mixture Experts for Large-scale Image Classification
Authors: He Ming , Lv Guangyi , He Weidong , Fan Jianping , Zeng Guihua
Published: August 2021

Although deep learning has demonstrated its outstanding performance on image classification, most well-known deep networks make efforts to optimize both their structures and their node weights for recognizing fewer (e.g., no more than 1000) object classes. Therefore, it is attractive to extend or mixture such well-known deep networks to support large-scale image classification. According to our best knowledge, how to adaptively and effectively fuse multiple CNNs for large-scale image classification is still under-explored. On this basis, a deep mixture algorithm is developed to support large-scale image classification in this paper. First, a soft spectral clustering method is developed to construct a two-layer ontology (group layer and category layer) by assigning large numbers of image categories into a set of groups according to their inter-category semantic correlations, where the semantically-related image categories under the neighbouring group nodes may share similar learning complexities. Then, such two-layer ontology is further used to generate the task groups, in which each task group contains partial image categories with similar learning complexities and one particular base deep network is learned. Finally, a gate network is learned to combine all base deep networks with fewer diverse outputs to generate a mixture network with larger outputs. Our experimental results on ImageNet10K have demonstrated that our proposed deep mixture algorithm can achieve very competitive results (top 1 accuracy: 32.13%) on large-scale image classification tasks.
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Authors: Huang Zhizhong , Chen Shouzhen , Zhang Junping , Shan Hongming
Published: August 2021

Age progression and regression aim to synthesize photorealistic appearance of a given face image with aging and rejuvenation effects, respectively. Existing generative adversarial networks (GANs) based methods suffer from the following three major issues: 1) unstable training introducing strong ghost artifacts in the generated faces, 2) unpaired training leading to unexpected changes in facial attributes such as genders and races, and 3) non-bijective age mappings increasing the uncertainty in the face transformation. To overcome these issues, this paper proposes a novel framework, termed AgeFlow, to integrate the advantages of both flow-based models and GANs. The proposed AgeFlow contains three parts: an encoder that maps a given face to a latent space through an invertible neural network, a novel invertible conditional translation module (ICTM) that translates the source latent vector to target one, and a decoder that reconstructs the generated face from the target latent vector using the same encoder network; all parts are invertible achieving bijective age mappings. The novelties of ICTM are two-fold. First, we propose an attribute-aware knowledge distillation to learn the manipulation direction of age progression while keeping other unrelated attributes unchanged, alleviating unexpected changes in facial attributes. Second, we propose to use GANs in the latent space to ensure the learned latent vector indistinguishable from the real ones, which is much easier than traditional use of GANs in the image domain. Experimental results demonstrate superior performance over existing GANs-based methods on two benchmarked datasets. The source code is available at https://github.com/Hzzone/AgeFlow.
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning
Authors: Jain Arjit , Reddy Samala Pranay , Jyothi Preethi , Mittal Deepak , Singh Maneesh
Published: August 2021

Recent semi-supervised learning (SSL) methods are predominantly focused on multi-class classification tasks. Classification tasks allow for easy mixing of class labels during augmentation which does not trivially extend to structured outputs such as word sequences that appear in tasks like image captioning. Noisy Student Training is a recent SSL paradigm proposed for image classification that is an extension of self-training and teacher-student learning. In this work, we provide an in-depth analysis of the noisy student SSL framework for the task of image captioning and derive state-of-the-art results. The original algorithm relies on computationally expensive data augmentation steps that involve perturbing the raw images and computing features for each perturbed image. We show that, even in the absence of raw image augmentation, the use of simple model and feature perturbations to the input images for the student model are beneficial to SSL training. We also show how a paraphrase generator could be effectively used for label augmentation to improve the quality of pseudo labels and significantly improve performance. Our final results in the limited labeled data setting (1% of the MS-COCO labeled data) outperform previous state-of-the-art approaches by 2.5 on BLEU4 and 11.5 on CIDEr scores.
Step-Wise Hierarchical Alignment Network for Image-Text Matching
Authors: Ji Zhong , Chen Kexin , Wang Haoran
Published: August 2021

Image-text matching plays a central role in bridging the semantic gap between vision and language. The key point to achieve precise visual-semantic alignment lies in capturing the fine-grained cross-modal correspondence between image and text. Most previous methods rely on single-step reasoning to discover the visual-semantic interactions, which lacks the ability of exploiting the multi-level information to locate the hierarchical fine-grained relevance. Different from them, in this work, we propose a step-wise hierarchical alignment network (SHAN) that decomposes image-text matching into multi-step cross-modal reasoning process. Specifically, we first achieve local-to-local alignment at fragment level, following by performing global-to-local and global-to-global alignment at context level sequentially. This progressive alignment strategy supplies our model with more complementary and sufficient semantic clues to understand the hierarchical correlations between image and text. The experimental results on two benchmark datasets demonstrate the superiority of our proposed method.