bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Affecting Burnout and Turnover Intention of Nurse at Academic Hospitals in Covid 19 Pandemic
Authors: Mafula Dluha , Retno Martani Hersinta , Widyawati Widyawati
Published: March 2023

Introduction: The COVID-19 has caused an increase in workload that affects the physical and psychological health of nurses. Moreover, the ongoing increase of workload can trigger work fatigue and declining work motivation. The purpose of this research is to identify factors which influence burnout and turnover intention of nurses working in a academic hospital during the COVID-19 pandemic.
Method: This research is non-experimental explanation survey research with cross sectional approach which involved 186 respondents who are chosen using convenience sampling. The independent variables are demographic factors while the dependent variables are burnout and turnover intention. Instrument used is a questionnaire related burnout and turnover intention which is based on a reference of earlier research. Data analysis used is multiple regression and logistic with p value ≤ 0,05.               
Result: Indicators influencing burnout were age (Coeff: -0.017; p=0.017), family dependents (Coeff: -0.799; p=0.011), and workshop on COVID-19 management (Coeff: 0.869; p=0.017). Indicators influencing turnover intention were family dependents (Coeff: -0,647; p=0.014), marital status (Coeff: 1.589; p=0.000), adjustment and arrangement of work schedule for COVID-19 service (Coeff: 0,901; p=0.033), and workshop on COVID-19 management (Coeff: 0,901; p=0.020).
Conclusion: The research shows that turnover intention on nurses working in a academic hospital during the COVID-19 pandemic is mostly on moderate level, as well as with burnout. Health institutions must focus on applying strategies to reduce a nurse workload which include infection prevention action, personal protective equipment (PPE), regular workshops on current COVID-19 management, incentive allotment punctuality and flexible work schedule arrangement.
Apakah Kualitas Institusi Berpengaruh pada Arus Masuk FDI di ASEAN?
Authors:   Departemen Ilmu Ekonomi, Fakultas Ekonomi dan Manajemen, IPB University, Septiantoro Ali Akbar , Hasanah Heni ,   Departemen Ilmu Ekonomi, Fakultas Ekonomi dan Manajemen, IPB University, Alexandi Muhammad Findi ,   Departemen Ilmu Ekonomi, Fakultas Ekonomi dan Manajemen, IPB University, Nugraheni Sri Retno Wahyu ,   Departemen Ilmu Ekonomi, Fakultas Ekonomi dan Manajemen, IPB University
Published: March 2023

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kualitas institusi (indeks government effectiveness, indeks voice and accountability, indeks stabilitas politik) dan variabel ekonomi lain (Gross Domestic Product [GDP], inflasi, keterbukaan perdagangan, dan gross fixed capital formation) terhadap Foreign Direct Investment (FDI) pada negara ASEAN periode tahun 2012–2016 dengan menggunakan analisis data panel. Hasil estimasi menunjukkan bahwa variabel ekonomi memiliki pengaruh yang lebih besar terhadap FDI dibandingkan dengan indikator stabilitas politik. Hasil kajian ini juga menemukan bahwa tidak signifikannya pengaruh indikator demokrasi dan kualitas institusi terhadap FDI dikarenakan tingginya tingkat korupsi yang mungkin memiliki efek crowding out terhadap tingkat demokrasi dan kualitas institusi.
Perkembangan Tingkat Pengembalian Investasi Pendidikan Menengah di Indonesia Tahun 2015 dan 2018
Authors:   Universitas Airlangga, Amalia Nuelda , Sugiharti Lilik ,   Universitas Airlangga
Published: March 2023

Penelitian ini bertujuan untuk mengetahui perkembangan tingkat pengembalian investasi pendidikan menengah di Indonesia, khususnya jenjang SMA dan SMK, serta perkembangannya pada tahun 2015 dan 2018. Data yang digunakan adalah Data Survei Angkatan Kerja Nasional (Sakernas) Indonesia tahun 2015 dan 2018. Estimasi tingkat pengembalian investasi pendidikan dilakukan dengan Metode Two-Step Heckman. Hasilnya, pada tahun 2015, tingkat pengembalian investasi pendidikan SMA (9,32%) lebih tinggi daripada SMK (8,89%). Namun pada tahun 2018, tingkat pengembalian investasi pendidikan SMK (9,53%) lebih tinggi daripada SMA (9,41%). Pergeseran ini disebabkan oleh semakin banyaknya lulusan SMK yang terserap di lapangan kerja serta meningkatnya penghasilan tenaga kerja lulusan SMK.
Analysis of factors affecting the quality and length of life of dogs
Authors:   Institute of Animal Husbandry and Fisheries, Faculty of Agrobioengineering and Animal Husbandry, Siedlce University of Natural Sciences and Humanities, B. Prusa 12/14, 08-110 Siedlce, Socha Stanisław , Mirońska Magdalena ,   Institute of Animal Husbandry and Fisheries, Faculty of Agrobioengineering and Animal Husbandry, Siedlce University of Natural Sciences and Humanities, B. Prusa 12/14, 08-110 Siedlce, Kołodziejczyk Dorota ,   Institute of Animal Husbandry and Fisheries, Faculty of Agrobioengineering and Animal Husbandry, Siedlce University of Natural Sciences and Humanities, B. Prusa 12/14, 08-110 Siedlce
Published: March 2023

The dog is a diverse species both in terms of behavior, size and lifespan. There are many factors that affect the lifespan of dogs. This paper examines, among others, the effect of breed on the length and quality of a dog's life, the effect of owner and social environment on a dogs quality of life, the effect of utility on a dogs quality of life, and the effect of nutrition on a dog's length and quality of life. The size of a dog is a well-known factor affecting the length of its life. Purebred dogs are known to have higher health burdens and shorter life spans than non-breed dogs and inter-breed hybrids of the same size. The length and quality of life of dogs is also affected by the quality of the bond with the owner and the owner's awareness of preventive veterinary care. A stimulating environment, and proper nutrition taking into account the dogs specific breed or health requirements, are also important for the quality and length of canine life.
Hyperuricosuria in the domestic dog (Canis lupus familiaris)
Authors:   Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences – SGGW, Ciszewskiego 8, 02-786 Warszawa, Poland, Gruszczynska Joanna , Szydłowska Kamila ,   Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences – SGGW, Ciszewskiego 8, 02-786 Warszawa, Poland, Łopienska Magdalena ,   Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences – SGGW, Ciszewskiego 8, 02-786 Warszawa, Poland, Siewruk Katarzyna ,   Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences – SGGW, Nowoursynowska 100, 02-797 Warszawa, Poland, Jundziłł-Bogusiewicz Paulina ,   Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences – SGGW, Ciszewskiego 8, 02-786 Warszawa, Poland, Grzegrzółka Beata ,   Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences – SGGW, Ciszewskiego 8, 02-786 Warszawa, Poland
Published: March 2023

Elevated plasma urate levels are associated with metabolic diseases such as hyperuricosuria. Long-term deposition of urea in the renal tubules can cause gout. Due to proper transport activity of GLUT9 (glucose transporter 9) protein, urate homeostasis in the body is maintained. GLUT9 is encoded by the SLC2A9 gene, which is expressed in the kidney and liver. The SLC2A9 c.616GG> T mutation results in a change in the amino acid sequences of the GLUT9 protein (p.Cys–188Phe, which in turn leads to hyperuricosuria. Molecular methods were used to identify the mutation in SLC2A9 gene. The occurrence of this mutation was found in many breeds of domestic dog (over 20), but the highest number of recessive homozygotes was recorded in the breeds: Dalmatian, Russian Black Terrier and English Bulldog.
The biometric characteristic of the Tufted Duck Aythya fuligula (Linnaeus, 1758) from Western Pomerania (Poland)
Authors:   Department of Animal Anatomy and Zoology, West Pomeranian University of Technology, Janickiego Str. 33, 71-270 Szczecin, Poland, Królaczyk Katarzyna , Dzierzba Emil ,   Department of Animal Anatomy and Zoology, West Pomeranian University of Technology, Janickiego Str. 33, 71-270 Szczecin, Poland, Kavetska Katarzyna Marta ,   Department of Animal Anatomy and Zoology, West Pomeranian University of Technology, Janickiego Str. 33, 71-270 Szczecin, Poland, Zaborski Daniel ,   Department of Ruminants Science, West Pomeranian University of Technology, Janickiego Str. 29, 71-270 Szczecin, Poland
Published: March 2023

The purpose of this work was to perform morphometric characteristics of the Tufted Duck Aythya fuligula obtained in Western Pomerania, according to their sex and age. The research material consisted of 197 Tufted Ducks obtained in December 2013. The biometric characteristics was performed on the basis of 20 measurements of linear and mass quantities. All internal organs measured and most of the individual body parts of the Tufted Duck were slightly larger in the case of males. Despite the differences in the body size of males and females, the studied birds showed similar variability in both length and mass. The differences between adult and young Tufted Ducks were not so well defined. Adult Tufted Ducks had significantly larger body mass, pectoral muscle mass and lung mass than juveniles. No significant differences were found in the linear values of the examined features.
Pengembangan Media Pembelajaran Pull Out Photo Box Sebagai Upaya Peningkatan Pemerolehan dan Pembelajaran Bahasa Bagi Anak Berkebutuhan Khusus (ABK) Pada Sekolah Inklusi Tingkat Dasar
Authors: Wisnu Wardana Muhammad Aditya , Febriana Noerzada , Krida Karina Yiyin , Mulyono Slamet , Sasmito Edy
Published: March 2023

Proses pemerolehan dan pembelajaran bahasa bagi penyandang tunarunggu di sekolah inklusi perlu dilakukan sebagai upaya menjamin pendidikan peserta didik yang belajar pada kelas inklusi. Pada saat ini Indonesia juga telah mempunyai UU tentang kesetaraan disabilitas di berbagai fasilitas publik dan tempat, yaitu pada Undang-Undang Nomor 8 tahun 2016. Salah satu sekolah inklusi di Indonesia adalah SDN 3 Kepanjenlor Kota Blitar. Tujuan dari pengembangan media pembelajaran pull out photo box adalah salah satu upaya peningkatan pemerolehan dan pembelajaran bahasa bagi anak berkebutuhan khusus (ABK) pada sekolah inklusi tingkat dasar. Pengembangan media pembelajaran pull out photo box dilakukan dalam 4 tahapan yaitu (1) tahap define (pendefinisian); (2) tahap design (perancangan); (3) tahap development (pengembangan); (4) dan tahap testing (percobaan). Penelitian ini dilakukan dengan mengambil sampel dari pendidik dan peserta didik di SDN 3 Kepanjenlor Kota Blitar Provinsi Jawa Timur dengan mengajukan pertanyaan kepada salah satu guru pendidik bahasa melalui media zoom meeting dan siswa melalui google form untuk mengetahui pemahaman serta kepuasan dalam menggunakan media pembelajaran pull out photo box dalam pembelajaran bahasa. Hasil yang diperoleh pada penelitian tersebut didapatkan sebuah kesimpulan yang memuaskan dalam menggunakan media pembelajaran pull out photo box di kelas inklusi tingkat dasar yaitu siswa mampu memahami materi pembelajaran bahasa serta tertarik dan aktif untuk mengikuti pembelajaran dengan menggunakan media pembelajaran tersebut.

Kata-kata kunci: Media Pembelajaran, Sekolah Inklusi, Pembelajaran, Pendidikan
Evaluasi Program Pendidikan Pengembangan Spesialisasi Bintara Dasar Intelijen (Densus 88 AT)
Authors: Mahany Yusdan Ibnuza , Suryadi Suryadi , Sutomo Sugiarto
Published: March 2023

Penelitian ini bertujuan untuk mengetahui dampak program Dikbangspes bagi peserta didik dan instansi tempat peserta didik bekerja, melalui pendekatan pendekatan kualitatif    yang berupaya untuk mengungkapkan    secara deskriptif terhadap evaluasi program sehingga memperoleh data yang objektif untuk menilai ketercapaian program Dikbangspes Bintara Dasar Intelijen (Densus 88 AT). data  dan  informasi  berupa  hasil  wawancara, kuisoner,  studi  dokumentasi,  analisis  dokumen  tentang  program   Pendidikan Pengembangan Spesialisasi Bintara dasar intelijen (Densus 88 AT) Di Pusdik Intelkam Lemdiklat Polri akan  diolah dan  disajikan  secara  deskriptif  dengan melakukan  analisis  menggunakan  prosedur  berdasarkan 4 (empat)  tahapan evaluasi Kirkpatrick program yang meliputi evaluasi: reaksi, pembelajaran, perilaku, dan hasil. Tahap Evaluasi Reaksi (Reaction) : Pada komponen kurikulum, secara umum peserta menyatakan kepuasan dengan kurikulum Dikbangspes ini.. Perlu adanya integrasi antara teori dengan praktik. Hasil evaluasi reaksi (reaction) dari peserta Dikbangspes secara umum dinyatakan telah memenuhi kriteria ketercapaian evaluasi program program Dikbangspes membawa perubahan perilaku bagi pesertanya. Evaluasi atas hasil (result) evaluasi atas hasil (result) Dikbangspes telah memenuhi kriteria penelitian. Implikasi dari penelitian ini perlu Mengevaluasi pengelolaan Dikbangspes untuk masa mendatang (2) Mengevaluasi secara berkala setiap perkembangan peserta didik baik dalam aspek kognitif, afektif, psikomotorik, fisik maupun psikologis peserta. Di era pandemi ini hal tersebut sangat penting karena sisi psikologis tentu akan berdampak pada penyerapan materi pembelajaran Dikbangspes
First experimental tests on the prototype of a capacitive oil level sensor for aeronautical applications
Authors: Attivissimo Filippo , Adamo Francesco , De Palma Luisa , Lotano Daniel , Di Nisio Attilio
Published: March 2023

In this paper, the design, the prototyping, and the first experimental tests of a Capacitive Oil Level Sensor (CLS) intended for aeronautical applications are described. Due to potentially high vibrational stresses and the presence of high electromagnetic interferences (EMI), the working conditions on aircraft can be considered quite harsh. Hence, both the sensing part and the conditioning circuit should meet strict constraints. For this reason, in the design phase, great attention has been paid also to the mechanical characteristics of the probes.  All the design aspects are exposed and the main advantages concerning alternative level sensing techniques are discussed and the preliminary experimental results of sensitivity, linearity, hysteresis, and settling time tests are presented and commented.
Hyponatremia Is an Overlooked Sign of Trouble Following Total Joint Arthroplasty
Authors: Baker Colin M. , Goh Graham S. , Tarabichi Saad , Sherman Matthew B. , Khan Irfan A. , Parvizi Javad
Published: March 2023

Background:

Hyponatremia is a common electrolyte abnormality in arthroplasty patients. This issue, underrecognized by surgeons, can impact the postoperative course of patients. There are, however, little data on the implications of sodium disturbances following total joint arthroplasty (TJA). The primary aims of this study were to (1) report the rate of hyponatremia following TJA, and (2) examine the impact of hyponatremia on the perioperative course of TJA patients.

Methods:

This was a retrospective analysis of 3,071 primary and revision TJAs performed between 2015 and 2017. Based on preoperative and postoperative sodium values (pre-post), patients were classified into 4 groups: normonatremic-normonatremic (Group 1), normonatremic-hyponatremic (Group 2), hyponatremic-normonatremic (Group 3), and hyponatremic-hyponatremic (Group 4). Primary end points were length of stay (LOS), postoperative discharge, in-hospital complications, and 90-day readmissions.

Results:

The distribution of cases was 84.6% Group 1, 9.4% Group 2, 2.1% Group 3, and 3.8% Group 4. Overall, 13.2% of patients had hyponatremia after TJA. Older age, hip arthroplasty, general anesthesia, higher Charlson Comorbidity Index, congestive heart failure, revision surgery, and history of stroke, liver disease, and chronic kidney disease were risk factors for postoperative hyponatremia. Patients with postoperative hyponatremia (Groups 2 and 4) had greater likelihoods of having a 90-day complication and non-home discharge and greater LOS.

Conclusions:

Postoperative hyponatremia was a relatively common occurrence in patients undergoing TJA, and was associated with greater LOS, complications, and non-home discharge. Surgeons should identify patients at risk for developing sodium abnormalities in order to optimize these patients and avoid increased resource utilization.

Level of Evidence:

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Uso de redes sociales en la preadolescencia: diferencias de género
Authors: Suárez-García Zara , García-Suárez Miguel , Álvarez-García David
Published: March 2023

Las redes sociales se han convertido en un contexto de gran influencia en la socialización, el aprendizaje y la formación de la personalidad de infantes y adolescentes. El presente trabajo parte de dos objetivos. Por un lado, conocer la prevalencia de uso de redes sociales en una muestra de preadolescentes españoles, analizando qué redes sociales usan más y posibles diferencias en función del género. Por otro lado, conocer a quién siguen y qué tipo de contenidos ven en las redes sociales, analizando también posibles diferencias entre ellos y ellas. Para ello, se aplicó un cuestionario de autoinforme sobre uso de redes sociales a 548 estudiantes (49.7% chicas) de 6º de Educación Primaria (10-13 años). Los resultados obtenidos muestran un uso generalizado de las redes sociales en estas edades. Principalmente se usan aplicaciones que permiten compartir y ver vídeos, así como aplicaciones de mensajería instantánea. El patrón de uso muestra resultados congruentes con los roles de género tradicionales. Los chicos siguen más que las chicas publicaciones sobre deporte o videojuegos. Las chicas siguen más que los chicos publicaciones sobre música, moda, salud/belleza, política, arte y famosos. Las chicas siguen a través de redes sociales a familiares, en mayor medida que los chicos. Se discuten las principales implicaciones educativas de estos resultados.
Funcionamiento psicológico adaptativo y burnout en docentes: implicaciones sobre los procesos instruccionales
Authors: Romero Valeria , Núñez José Carlos , Freire Carlos , Ferradás María del Mar
Published: March 2023

Dados los elevados niveles de burnout en la profesión docente, existe un creciente interés por la identificación de los recursos personales que favorecerían el funcionamiento psicológico positivo en este colectivo. Desde esta incipiente perspectiva, el presente estudio tenía dos objetivos: (1) analizar el efecto del capital psicológico y la satisfacción laboral sobre el burnout docente; (2) determinar cómo este síndrome repercute en la práctica instruccional (autoeficacia para la enseñanza de estrategias de autorregulación y enfoque de enseñanza adoptado). Se efectuó un análisis de ecuaciones estructurales con 113 docentes (90.3% mujeres; Medad = 38.13; DT = 11.01) de Educación Infantil, Primaria, Secundaria y Bachillerato, seleccionados mediante un muestreo por conveniencia. El capital psicológico y la satisfacción laboral se mostraron como predictores negativos del burnout. A su vez, este síndrome evidenció un efecto negativo directo sobre la autoeficacia, e indirecto sobre el enfoque de enseñanza centrado en el estudiantado. Estos hallazgos sugieren que el capital psicológico y la satisfacción laboral pueden constituir recursos valiosos para reducir el burnout docente y favorecer su desempeño laboral adaptativo.
"Inflation in Yemen: Analysis of Economic Factors and Strategic Interventions"
Authors: Hassan Ramzi Abdullah
Published: March 2023

This research paper aims to analyze the electronic services market in Yemen. The study used data collected from various banks in Yemen over 11 years (2011–2021). The data were analyzed using multiple comparisons by the Dunnett T3 test, which revealed significant differences in the mean values of electronic services offered by different banks. The results of the study showed that there is a clear difference in the electronic services offered by different banks in Yemen. The study found that the electronic services offered by the bank of Al-Amal had the highest mean value, while the electronic services offered by the bank of Al-Khair had the lowest mean value. Additionally, the study revealed a significant increase in the mean values of electronic services offered by all banks from 2011 to 2021. The results of this study can be used to inform policies and strategies for developing electronic services in Yemen and to guide banks in their efforts to improve the quality of their services.
Heterogenization of marine catch assemblages over the past four decades in China
Authors: Ma Zhiyuan , Zhu Jiangling
Published: March 2023

Marine fishery biodiversity is crucial for sustainable food supply to billions of people, yet it has been severely damaged by a long history of overexploitation. Although local marine species diversity in response to anthropogenic change has been intensively studied, however, the trajectories of marine catch assemblages at larger temporal and spatial scales remain elusive. Here, we use data collected from the China Fishery Statistical Yearbook that spans 37 years (1983-2019) to systemically and quantitatively assess the trajectory change of marine catch assemblages and the drivers. We found that both species taxa and the structure has undergone two distinguish periods (1983-2002 versus 2003-2019), and the composition of marine catch experienced rapid temporal heterogenization for both occurrence and abundance-based dissimilarity over about past four decades, but the rate of the change has slowed in the latter two decades. Importantly, the fish species with a smaller size and living in the upper water may drive the heterogenization in the earlier two decades. Conversely, the fish with a bigger size and living in the deeper water may drive the heterogenization in the latter two decades. These findings can help to identify species that urgently need more effective fishing strategies, and incorporate them into future marine conservation and fisheries management decisions to rebuild sustainable marine fishery stocks.
Determinants of time-to-recovery from hypertension by application of Weibull-Inverse Gaussian shared frailty model
Authors: Yihuna yeshambel , Takele Nigist , Muluneh Essey
Published: March 2023

Hypertension is a major public health problem that is responsible for morbidity and mortality. In Ethiopia hypertension is becoming a double burden due to urbanization. The aim of the study is to identify factors that affect time-to-recovery from hypertension. In this study, a retrospective study design was used and the data was collected in the patient’s chart from September 2016 to January 2018. Accelerated failure time, and parametric shared frailty models were employed to identify factors associated with the recovery time of hypertension patients. Eighty one percent of sampled patients were recovered to normal condition and nineteen percent of patients were censored observations. The median survival time of hypertensive patients to attain normal condition was 13 months. Weibull- inverse Gaussian shared frailty model which was found to be the best model for predicting recovery time of hypertension patients. Unobserved heterogeneity in residences as estimated by the Weibull-Inverse Gaussian shared frailty model was θ = 0.385 (p-value = 0.00). Predictor age, systolic blood pressure, related disease, creatine, blood urea nitrogen, and the interaction between blood urea nitrogen and age were the determinant factors of the recovery status of patients. Therefore, health-care providers give great attention and priorities those identified factors and forward frequent counseling about reducing hypertension disease.
Associations between the average blastomere number of all embryos on day 3 and the live birth rate in the transfer cycle: a single-centre, retrospective study
Authors: Xu Hongyi , Qi Tiange , Tian Jiarong , Chen Xin , Zhang Xin , Fu Kui , Liao Huiqi , Jiang Shengfang , Zhang Ying , Zhang Changjun
Published: March 2023

Research question: What are the influencing factors of the average blastomere number of all embryos in D3 patients and the association with a live birth rate in the transfer cycle?
Methos: A total of 7420 fresh embryo transferred cycles of patients who underwent IVF-ET in the Reproductive Medicine Center, Renmin Hospital, Hubei University of Medicine from January 2016 to December 2021 were selected retrospective observed.
Results: According to the average blastomeres number in all embryos on day 3 following oocyte retrieval, the patients were split into five groups: 5.00 group (747 cases), 5.01-6.00 group (1763 cases), 6.01-7.00 group (3052 patients), 7.01-8.00 group (1646 cases), and >8 groups (212 patients). The average number of blastomere on D3 was negatively associated (P <0.05) with infertility, duration infertility, male factors infertility, E2 value on hCG day, and ICSI insemination method. The live birth rate(LBR) of the groups 5.00 and 5.01-6.00 was considerably lower than that of the other groups, according to multivariate regression analysis（P＜0.001). Further additional curve fitting was utilized to demonstrate that the LBR increased significantly as the number of blastomeres grew, increasing a value of 20% for every different blastomere number when the average number of blastomeres on D3＜5.7 (P<0.001). On the other hand, when the number≥5.7 (P=0.258), the live birth rate no longer increases.
Conclusion: An average blastomere number between 7.01 and 8.00 is associated with higher LBR in D3 fresh embryo transfer cycle, when the average blastomeres in D3 embryos are less than 5.7 to reduce the live birth rate of the transfer cycle.
A comprehensive evaluation of the technical, economic, and environmental aspects of utilizing a PV-RO desalination process in a coastal region of Andhra Pradesh
Authors: Ananthasai Somasi , Srichan Kondamudi
Published: March 2023

This paper puts forward a systematic study on the desalination plant feasibility at Chinni Rushikonda, Visakhapatnam, Andhra Pradesh, India. The water samples are collected from Rushikonda beach and tested in the nearby testing facility, National Collateral Management Services Limited. The salinity and TDS are within the limits and are encouraging for a Reverse Osmosis plant. A mathematical model of RO system is analyzed with different recovery ratio and feed salinity. Based on the energy requirements, the solar PV system is estimated and designed. An economic and environmental analysis is conducted to understand the capital cost, operating cost, profit, and CO2 emissions of the system. The analysis would examine the practicality and effectiveness of the system, along with the associated costs and benefits of implementing it. Additionally, the study would investigate the potential environmental impacts and carbon footprint of the PV-RO desalination process, with a focus on its sustainability and long-term viability.
Proteome analysis of splenic responses to Marek’s disease virus strain GX0101 infection
Authors: Wang Chuan , Liu Yuanzi , Yang Yuze , Teng Man , Wan Xuerui , Wu Zixiang , Zhang Zhao
Published: March 2023

Marek's disease virus (MDV) strain GX0101 was the first reported field strain of recombinant gallid herpesvirus type 2 (GaHV-2). However, the splenic proteomics study of MDV strain GX0101 infected chicken was still unclear. In this study, GX0101 was used to infect the chicken spleen in order to analyze the splenic proteomics of the chicken after GX0101 infection. The viral genome was extracted from blood samples of chickens after 7 days post infection (dpi), 14 dpi, 21 dpi, 30 dpi, 45 dpi, 60 dpi and 90 dpi to extract the viral genome. qPCR results showed that the expression levels of MDV related genes meq and gB in blood peaked at 45 dpi. The heart, liver and spleen were respectively dissected 30 dpi and 45 dpi, and hematoxylin-eosin (HE) staining indicated that the normal organizational structure of the internal organs of the chicken in the experimental group at 45 dpi was destroyed. Among them, the spleen structure was severely damaged, and the lymphocytes in the white medulla were significantly reduced. Mass spectrometry (MS) together with liquid chromatography and Label-free technique were further used to analyze the difference of proteomics of spleen tissue between the experimental group and the control group at 30 dpi and 45 dpi. Proteomic analysis revealed 1660 and 1244 differentially expressed proteins (DEPs) 30 dpi and 40 dpi in the spleen tissues, respectively, compared with the uninfected spleen tissues. According to GO analysis, these DEPs were involved in organelle organization, cellular component biogenesis, cellular component assembly, anion binding, small molecule binding, metal ion binding, cation binding, cytosol, nuclear part and other processes. KEGG analysis indicated the following pathways were linked to MDV-induced inflammation, apoptosis and tumor, including Wnt, Hippo, AMPK, cAMP, Notch, TGF-β, PI3K-Akt, Rap1, Ras, Calcium, NF-κB, PPAR, cGMP-PKG, Apoptosis, VEGF, mTOR, FoxO, TNF, JAK-STAT, MAPK, Prion disease, T cell receptor, B cell receptor. We found 674 DEPs from analyzed KEGG-enriched pathways, and these proteins were linked to MDV infection in spleen tissue. This study offered helpful data for understanding the response mechanism of MDV in spleen.
Flood susceptibility zonation map using remote sensing and XGboost, Random Forest, Nearest neighbor models in GIS: a case study Tebessa city, Algeria.
Authors: TALBI Sarra , GUERZOULI Lazhar , FEZZAI Soufiane
Published: March 2023

Predictive mapping of flooding zone occurrence at the regional scale was performed for the urban perimeter of Tebessa City, Algeria, using remote sensing by Landsat to detect the past effect of flood occurrences of the last 10 years and estimate the future potential flood disaster. Machine learning ML was instrumental in predicting the flooding zones of Tebessa City through the utilization of three models: XGboost, Random Forest, and Nearest neighbor models. To generate the Flood susceptibility zonation map of Tebessa City, approximately 495 flood locations, and 490 Non-flood locations were selected as a training data according to the data set recorded by The direction of civil protection of the wilaya of Tebessa, and about 15% of them were used as a validation set. To predict the 54,945 locations as a test dataset; The estimated accuracy values of prediction rates using the Accuracy score method for XGboost, Random Forest classified, and Nearest neighbor models were 93.92%, 93.91%, and 93.24%, respectively. Geospatial databases relevant to flood zone occurrence (hydrographic factors, topographic factors, climatic factors, and human factors) were analyzed in a geographic information system environment GIS.
Giant spin Hall effect in AB-stacked MoTe2/WSe2 bilayers
Authors: Tao Zui , Shen Bowen , Zhao Wenjin , Hu Nai Chao , Li Tingxin , Jiang Shengwei , Li Lizhong , Watanabe Kenji , Taniguchi Takashi , MacDonald Allan , Shan Jie , Mak Kin Fai
Published: March 2023

The spin Hall effect (SHE), in which electrical current generates transverse spin current, plays an important role in spintronics for the generation and manipulation of spin-polarized electrons 1–7. The phenomenon originates from spin-orbit coupling. In general, stronger spin-orbit coupling favors larger SHEs but shorter spin relaxation times and diffusion lengths 1,4–7. To achieve both large SHEs and long-range spin transport in a single material has remained a challenge. Here we demonstrate a giant intrinsic SHE in AB-stacked MoTe2/WSe2 moiré bilayers by direct magneto optical imaging. Under moderate electrical currents with density < 1 A/m, we observe spin accumulation on transverse sample edges that nearly saturates the spin density. We also demonstrate long-range spin Hall transport and efficient non-local spin accumulation limited only by the device size (about 10 µm). The gate dependence shows that the giant SHE occurs only near the Chern insulating state, and at low temperatures, it emerges after the quantum anomalous Hall breakdown. Our results demonstrate moiré engineering of Berry curvature and large SHEs for potential spintronics applications.
Spatio-Temporal Analysis of Pre-earthquake Scenario to Forecasting the Earthquake Magnitude
Authors: M Senthil Kumar , Natarajan Venkatanathan
Published: March 2023

Although many earthquake precursors have been identified to forecast earthquakes, even in this modern era, forecasting earthquakes in the short term remains a challenging task because of the heterogeneous nature of earthquakes. This study mainly focused on how pre-earthquake scenarios like pre-shocks and atmospheric parameters such as OLR are influenced by the earthquake. The Himalayan belt is one of the most at-risk areas during a continental-continental collision, we decided to focus on earthquakes in that area for our study. For this, we investigated the spatiotemporal analysis of the pre-earthquake scenario to identify the most vulnerable seismic risk zone and to forecast the magnitude of the earthquake. We found there is an energy distribution concentration toward the epicentre of the earthquake. Furthermore, the study also found that abnormal changes in atmospheric parameters could occur several days before an earthquake, which could potentially serve as an early warning system for seismic activity. We observed that on certain days, the OLR spread moved from one location to another in the direction of, or across, the epicentre. This allows us to determine the epicentre of the earthquake with relative ease. This research highlights the importance of monitoring both seismic and atmospheric activity to improve earthquake forecasting and preparedness. As a result of our research, we may be able to identify the most vulnerable seismic zone, locate the epicentre using spatial analysis, and forecast the magnitude of the earthquake using the temporal technique.
Deep learning-based algorithm versus physician judgement for myopathy and neuropathy diagnosis based on needle electromyography findings
Authors: Yoo Ilhan , Yoo Jaesung , Kim Dongmin , Youn Ina , Kim Hyodong , Youn Michelle , Won Jun Hee , Cho Woosup , Myong Youho , Kim Sehoon , Yu Ri , Kim Sung-Min , Kim Kwangsoo , Lee Seung-Bo , Kim Keewon
Published: March 2023

Electromyography is a valuable diagnostic tool for diagnosing patients with neuromuscular diseases; however, it has possible drawbacks including diagnostic accuracy and a time- and effort-intensive process. To overcome these limitations, we developed a deep learning-based electromyography diagnosis system and compared its performance with that of six physicians. This study included 58 participants who underwent electromyography and were subsequently confirmed to have myopathy or neuropathy or to be in a normal state at single tertiary centre. We developed a one-dimensional convolutional neural network and Divide-and-Vote algorithms for diagnosing patients. Diagnostic results from our deep learning model were compared with those of six physicians with experience in performing and interpreting electromyography. The accuracy, sensitivity, specificity, and positive predictive value of the deep learning model were 0.875, 0.820, 0.904, and 0.820, respectively, whereas those of the physicians were 0.694, 0.537, 0.773, and 0.524, respectively. The area under the receiver operating characteristic curves of the deep learning model was also better than those of the averaged results of the six physicians. Thus, deep learning could play a key role in diagnosing patients with neuromuscular diseases.
Machine Learning and Bioinformatics Approaches to Identify the Candidate Biomarkers in Severe Asthma
Authors: Zhang Fuying , zhu jiabao , Lei Mingsheng
Published: March 2023

Background
Severe asthma is defined as a persistent increase in airway inflammation despite the use of systemic glucocorticoids, targeted biologic therapies. Early prediction of severe asthma is challenging due to the lack of valuable biomarkers. The aim of this study was to identify crucial differentially expressed genes (DEGs) associated with severe asthma through approaches of bioinformatics analysis.
Methods
Three datasets GSE130499, GSE43142 and GSE43696 were derived from the GEO expression database. Two datasets (GSE130499 and GSE43142) were merged, and batch effects were removed by using the "SVA" package. Afterwards, the differentially expressed genes (DEGs) were analyzed with the "limma" package. Next, DEGs were functionally enriched and pathway analyzed in the online analysis website DAVID, then DEGs were analyzed again by two machine learning algorithms (LASSO and SVM-RFE) to obtain the candidate biomarkers, and the diagnostic validity of the biomarkers was assessed using subject operating characteristic (ROC) curves, and finally the results were further validated through the GSE43696.
Results
Total of 73 gene differential expression genes were identified in severe asthma and normal control. After screening with two machine learning algorithms, LASSO and SVM-RFE, three genes (BCL3, DDIT4 and S100A14) were recognized as biomarkers of asthma and had good diagnostic effect. Among them, BCL3 transcript level was down-regulated in severe asthma, while S100A14 and DDIT4 transcript levels were up-regulated.
Conclusions
In this study, we identified three differentially expressed genes (BCL3, DDIT4 and S100A14) of diagnostic significance that may be involved in the development of severe asthma and proposed new insights into the underlying mechanisms.
Room-temperature ultrastrong exciton-plasmon coupling in WS2 monolayer synthesized with a multi-singular metasurface
Authors: Wu Tingting , Wang Chongwu , Hu Guangwei , Wang Zhixun , Zhao Jiaxin , Wang Zhe , Chaykun Ksenia , Liu Lin , Chen Mengxiao , Li Dong , Xiong Qihua , Shen Ze , Gao Huajian , Garcia-Vidal Francisco , Wei Lei , Wang Qi Jie , Luo Yu
Published: March 2023

Monolayer semiconductors exemplified by two-dimensional transition-metal dichalcogenides (TMDs) have promised next-generation atomically thin optoelectronics. Boosting their interactions with light is vital for practical applications, especially in the quantum regime where ultrastrong interaction is highly demanded but not yet realized. Here we report ultrastrong exciton-plasmon coupling in a tungsten disulfide (WS2) monolayer loaded with a multi-singular plasmonic metasurface at room temperature. Different from seeking perfect metals or high-quality resonators, we create a unique type of cold-etched metasurface with multiple singularities. Multiple plasmonic hotspots that support tightly confined gap plasmons fit into the coherent area of WS2 excitons and thus trigger the ultrastrong exciton-plasmon coupling with a normalized coupling strength of 0.104. As an application demonstration, we showed dispersive polariton-enhanced and tunable second-order nonlinearities in the WS2 monolayer. Our findings reveal room-temperature extreme light-matter interactions in TMD monolayers for future applications in nonlinear optics, quantum information processing, laser physics and others.
Distinct neural mechanisms for heading retrieval and context recognition in the hippocampus during spatial reorientation
Authors: Gagliardi Celia , Normandin Marc , Keinath Alexandra , Julian Joshua , Lopez Matthew , Ramos-Alvarez Manuel , Epstein Russell , Muzzio Isabel
Published: March 2023

Reorientation, the process of regaining one’s bearings after becoming lost, requires identification of a spatial context (context recognition) and recovery of heading direction within that context (heading retrieval). We previously showed that these processes rely on the use of features and geometry, respectively. Here, we examine reorientation behavior in a task that creates contextual ambiguity over a long timescale to demonstrate that mice learn to combine both featural and geometric cues to recover heading with experience. At the neural level, most CA1 neurons persistently align to geometry, and this alignment predicts heading behavior. However, a small subset of cells shows feature-sensitive place field remapping, which serves to predict context. Efficient heading retrieval and context recognition require integration of featural and geometric information in the active network through rate changes. These data illustrate how context recognition and heading retrieval are coded in CA1 and how these processes change with experience.
Perhaps charcoal remembers: A methodological approach to the interpretation of archaeological charcoal assemblages, with a focus on the study of socio-environmental relationships in central-western Argentina
Authors: Mafferra Luis Eduardo
Published: March 2023

This paper proposes a synthesis that allows articulating anthracological data with diverse contextual information: archaeological, historical, ethnographic, and environmental, as well as theoretical proposals on socio-environmental relationships. In particular, the north of Mendoza is analyzed in central-western Argentina during the period from 1200 to 100 years BP, which allows for comparing cases associated with the pre-Hispanic, colonial, and modern periods. For each of them, the existence of human groups with different ways of life integrated into specific environments is analyzed. To this end, for each case, the characterization of some interrelated categories is explored: 1) Modes of dwelling: settlement, mobility, production modes, or demand for firewood; 2) socio-environmental relationship frameworks: different ways of conceiving and relating to the environment; 3) Archaeological record and firewood use: analysis of charcoal samples according to their archaeological context and class indices of richness, diversity, and abundance; particularities of the plants found based on their uses, origin, habit, or association with domestication processes, among others; 4) Landscape shaping: observation of the environmental dynamics in which human groups are integrated in relation to the first three categories. The results allow for raising problems and questions that enrich the social interpretation of the anthracological record. In sum, the work addresses a methodological approach that explores the potential of this materiality for the study of socio-environmental relationships.
Systematic Mendelian randomization study of the effect of gut microbiome and plasma metabolome on severe COVID-19
Authors: Yan Han , Zhao Si , Huang Han-Xue , Xie Pan , Cai Xin-He , Qu Yun-Dan , Zhang Wei , Luo Jian-Quan , Zhang Longbo , Li Xi
Published: March 2023

Background COVID-19 could develop severe respiratory symptoms in certain infected patients, especially in the patients with immune disorders. Gut microbiome and plasma metabolome act important immunological modulators in the human body and could contribute to the immune responses impacting the progression of COVID-19. Methods Based on two-sample Mendelian randomization framework, the causal effects of 131 microbiota in genus or species level and 452 plasma metabolites on severe COVID-19 are estimated. Single nucleotide polymorphisms (SNPs) strongly associated with the abundance of intestinal bacteria in gut and the concentration of metabolites in plasma have been utilized as the instrument variables to infer whether they are causal factors of severe COVID-19. In addition, mediation analysis is conducted to find the potential link between the microbiota and metabolite which identified by polygenic Mendelian randomization analysis, while colocalization analysis has been performed to validate the causal relationships which identified bycis-Mendelian randomization analysis. Results Mendelian randomization support 13 microbiota and 53 metabolites, which are significantly causal association with severe COVID-19. Mediation analysis find 11 mediated relations, such as myo-inositol, 2-stearoylglycerophosphocholine and alpha-glutamyltyrosine, which appeared to mediate the association ofHowardellaandRuminiclostridium 6with severe COVID-19 respectively, whileButyrivibrioandRuminococcus gnavusappeared to mediate the association of myo-inositol and N-acetylalanine respectively.Ruminococcus torquesabundance was colocalized with severe COVID-19 (PP.H4 = 0.77) and the colon expression of permeability related protein RASIP1 (PP.H4 = 0.95). Conclusions Our study results highlight the causal relationships of gut microbiome and plasma metabolome for severe COVID-19, which have the promise to be served as clinical biomarkers for risk stratification and prognostication, and novel basis to unravel the pathophysiological mechanisms of severe COVID-19.
Heterogeneous Regularization for Fast Rendering using Deep Spike Neural Network
Authors: CONSTANTIN Joseph , CONSTANTIN Ibtissam , Dornaika Fadi , Hoang Vinh Truong
Published: March 2023

In real-time rendering, images are computed at a very high speed to make them look like the real scenes. Speed and interactivity play an important role in real-time rendering. However, computing indirect lighting in real time is a major challenge because it is very computationally intensive. To be used in video movies, the rendering program must run very fast and the video engine must operate at a constant frame rate. The images must be noise-free and the animations must remain stable without temporal artifacts. Global lighting in videos is still a real challenge. The rendering program must calculate the entire light exchange between the surfaces of a virtual 3D scene. Offline techniques are capable of rendering photo-realistic images, but none of these algorithms is capable of generating images in real time with a high number of frames per second. In this work, a Deep Spiking Neural Network with Heterogeneous Regularization learning technique is proposed with the aim of building a more biologically plausible network to evaluate the amount of noise and find a stopping criterion for fast realistic illumination. The idea is to improve learning performance by extracting the most relevant features with a deep spiking neural network to achieve high rendering quality. We used a new objective function composed from a supervised term and an unsupervised term. The supervised term enforces the fitting term between the predicted labels and the known labels. The unsupervised term imposes the smoothness of the predicted labels. The experiments was performed on scenes with global illumination containing different image distortions. The proposed model is also compared with the human visual system and other state-of-the-art models. Results show better performance and advantages in terms of efficiency, an increasingly biologically plausible network, and ease of implementation in Neuromorphic hardware.