bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS KESUKSESAN KARIR ALUMNI PROGRAM MAHASISWA BERPRESTASI DI PERGURUAN TINGGI
Authors: Syafhil Zakiyah Salsabila , Kartika Lindawati 
Published: April 2021

Kementerian Pendidikan dan Kebudayaan menyelenggarakan Pemilihan Mahasiswa Berprestasi (PILMAPRES) tingkat nasional sejak 2004. Kompetisi ini mencakup aspek penilaian komprehensif yang meliputi kemampuan akademik, kemampuan berbahasa asing, capaian unggulan, kemampuan menulis ilmiah, dan kepribadian. IPB University merupakan perguruan tinggi yang memiliki reputasi baik dalam ajang tersebut. Penelitian ini dilakukan pada Direktorat Kemahasiswaan dan Pengembangan Karir IPB dengan tujuan untuk mengidentifikasi karakteristik, menganalisis kompetensi alumni berdasarkan kriteria PILMAPRES dan karir pascakampus, serta menganalisis pengaruh kompetensi terhadap kesuksesan karir alumni program PILMAPRES. Pendekatan yang digunakan adalah kuantitatif berupa survei dan studi dokumen dari berbagai hasil kajian yang relevan. Partisipan penelitian merupakan 45 orang alumni Mahasiswa Berprestasi yang mewakili semua fakultas dan sekolah di IPB. Pengumpulan data dilakukan dengan kuesioner yang diberikan melalui internet kepada responden. Data diolah dengan metode analisis deskriptif dan SEM PLS. Mayoritas alumni bekerja sebagai karyawan swasta dengan masa tunggu rata-rata empat bulan. Dari analisis SEM-PLS diketahui bahwa variabel capaian unggulan dan kepribadian berpengaruh signifikan terhadap kesuksesan karier, sedangkan kemampuan akademik, kemampuan bahasa asing dan kemampuan penulisan ilmiah tidak berpengaruh signifikan.

The Ministry of Education and Culture has held National Outstanding Students Selection (PILMAPRES) since 2004. This competition covers comprehensive aspects such as academic abilities, foreign language skills, non-academic achievements, scientific writing abilities, and personality. IPB University has a good reputation in this event. This research was conducted at the Directorate of Student Affairs and Career Development of IPB with the objectives to identify the characteristics of outstanding student alumni, analyse alumni competencies based on PILMAPRES criteria and career, and analyse the influence of competence on career success. The approach used is quantitative with primary data from survey and secondary data from various relevant studies. Research participants were 45 outstanding student alumni representing all faculties and schools in IPB. Data collection was carried out by means of a questionnaire given via the internet to respondents. The data were processed using descriptive analysis and SEM-PLS. The majority of alumni work as private employees with a maximum average waiting period of four months. From the SEM-PLS analysis, it is known that the variables of achievements and personality have a significant effect on career success, while academic abilities, foreign language skills, and scientific writing abilities do not have any significant effect.
Students’ Admission Process based on a Novel Fermatean Fuzzy Distance Measure Algorithm
Authors: Ejegwa Augustine , Onyeke Idoko Charles 
Published: April 2021

Abstract
Fermatean fuzzy set is a competent tool in curbing indeterminacy embedded in soft computing. Fermatean fuzzy set generalizes both intuitionistic fuzzy sets and Pythagorean fuzzy sets in an effective way to handle imprecision by expanding the spatial scope of Pythagorean/intuitionistic fuzzy sets. Distance measure has become an integral aspect of utilizing generalized fuzzy sets in soft computing. In this paper, a novel distance measure between Fermatean fuzzy sets is introduced with a better and reliable output. Some properties of the proposed distance measure are characterized. It is demonstrated that the new distance measure between Fermatean fuzzy sets is more reliable than the existing Fermatean fuzzy distance measure. In addition, it is shown that Fermatean fuzzy set is more equipped to curb imprecision than Pythagorean/intuitionistic fuzzy sets. In terms of application, the new Fermatean fuzzy distance measure is utilized in executing students’ admission process using an algorithmic approach implemented by a programming language to enhance accuracy and ease of computations.
Complex Day-to-day Movements of an Alpine Passerine May Act as an Insurance Against Environmental Variability
Authors: Barras Arnaud Gian , Liechti Felix , Arlettaz Raphaël 
Published: April 2021

Abstract
Mountains naturally offer very contrasting habitat conditions, but their biodiversity is nowadays facing the extra challenge of adapting to rapid environmental shifts that are much more pronounced than in the lowlands. Among the possible adaptive responses of wildlife, intra- and inter-seasonal movements represent an important coping strategy that remains largely unexplored. We investigated the seasonal and day-to-day movements of the ring ouzel Turdus torquatus, a European mountain bird species that is declining in many parts of its distribution. We tracked individuals breeding in the Swiss Alps using geolocators, multi-sensor loggers and GPS. Of the birds traced to their non-breeding quarters, two thirds reached the Atlas Mountains while one third stayed in Spain, a region potentially more significant for overwintering than previously thought. The birds remained mostly above 1000 m throughout the annual cycle, highlighting a strict association of ring ouzels with mountain habitats. We also evidenced flexible daily elevational movements, especially upon spring arrival on the breeding grounds, which suggest adaptive potential in response to environmental variation. This study shows how modern technology can deliver deeper insights into animal movements, paving the way for refined assessments of species vulnerability to ongoing global change while providing basic conservation guidance.
Predicting Outcomes of Business Process Executions Based on LSTM Neural Networks and Attention Mechanism
Authors: Wang Jiaojiao , Yu Dongjin , Liu Chengfei , Sun Xiaoxiao 
Published: April 2021

Abstract
To effectively predict the outcome of an on-going process instance helps make an early decision, which plays an important role in so-called predictive process monitoring. Existing methods in this field are tailor-made for some empirical operations such as the prefix extraction, clustering, and encoding, leading that their relative accuracy is highly sensitive to the dataset. Moreover, they have limitations in real-time prediction applications due to the lengthy prediction time. Since Long Short-term Memory (LSTM) neural network provides a high precision in the prediction of sequential data in several areas, this paper investigates LSTM and its enhancements and proposes three different approaches to build more effective and efficient models for outcome prediction. The first move on enhancement is that we combine the original LSTM network from two directions, forward and backward, to capture more features from the completed cases. The second move on enhancement is that we add attention mechanism after extracting features in the hidden layer of LSTM network to distinct them from their attention weight. A series of extensive experiments are evaluated on twelve real datasets when comparing with other approaches. The results show that our approaches outperform the state-of-the-art ones in terms of prediction effectiveness and time performance.
Design of Sliding Mode Controller For The Estimation Of Sensor/Actuator Fault With Unknown Input Observer For Satellite Control System.
Authors: Aslam Muhammad Shamrooz , Qaisar Irfan 
Published: April 2021

Abstract
In this paper, the mechanism for estimation of the sensor and actuator faulty control problem for the class of nonlinear systems is investigated. The Lipschitz conditions and system uncertainties also considered. By implementing the sliding mode observer (SMO) method, initially, we introduced the transformation scheme to make the system rational. In which we split our system into two parts such that the actuator fault function has only happened in the second state vector of nonlinear dynamics. Based on the Lyapunov stability theory and appropriate inequality, some sufficient criteria in the form of linear matrix inequalities are obtained to ensure the bounded stability for the prescribed H∞ performance level. In addition, the designed algorithm for actuator fault is further applied for the sensor fault.
The interaction effects of FEN1 rs174538 polymorphism and polycyclic aromatic hydrocarbons exposure on damage in exon 19 and 21 of EGFR gene in coke oven workers
Authors: Chen Siqin , He Yuefeng , Yan Maosheng , Zhou Yun , He Qinghua , Tan Jingwen , Yang Binyao 
Published: April 2021

Abstract
Mutagenesis is a multifactor process associated with increased risk of cancer. Polycyclic aromatic hydrocarbons (PAHs) exposure and genetic susceptibility were conductive to genotoxic effects including gene damage, which can increase mutational probability and are potential carcinogenic etiology. We aimed to explore the dose-effect associations of PAHs exposure with damage of exons of epidermal growth factor receptor (EGFR) and breast cancer susceptibility gene 1 (BRCA1), as well as their associations whether modified by Flap endonuclease 1 (FEN1) genotype. 288 coke oven male workers were recruited and we detected the concentration of 1-hydroxypyrene (1-OH-pyr) as PAHs exposure biomarker in urine and examined base modification in exons of EGFR and BRCA1 respectively, and genotyped FEN1 rs174538 polymorphism in plasma by PCR methods. Compared to low exposure group, the high exposed workers had significantly higher urinary concentrations of 1-OH-pyr, after adjustment for multiple covariates (P < 0.001). We found that the damage index of exon 19 and 21 of EGFR (EGFR-19 and EGFR-21) were both significantly associated with increased urinary 1-OH-pyr (both Ptrend < 0.001). The multiple linear regression analysis showed that the levels of urinary 1-OH-pyr were both significantly associated with increased EGFR-19 and EGFR-21 in both smokers and nonsmokers (both P < 0.001). Additionally, we observed that the urinary 1-OH-pyr concentrations were both linearly associated with EGFR-19 and EGFR-21 only in rs174538 GA + AA genotype carriers (both P < 0.001). Moreover, FEN1rs rs174538 showed modifying effects on the associations of urinary 1-OH-pyr with EGFR-19 and EGFR-21 (both Pinteraction< 0.05). Our findings revealed the linear dose-effect association between exon damage of EGFR and PAHs exposure and highlight differences in genetic contributions to exon damage and have the potential to identify at-risk subpopulations who are susceptible to adverse health effects induced by PAH exposure.
Performance Analysis of Solar Chimney Power Plant from Geothermal Waste Heat Source a Case of Aluto-Langano, Ethiopia.
Authors: Getnet Tereche , Getnet Aschale 
Published: April 2021

Abstract
In this paper, the transient thermal simulation on working fluid of solar updraft power plant using waste water was investigated to characterize the enhancement by numerical and theoretical method. Numerical solution technique used to solve a differential equation form of governing equations using finite difference discretization scheme. Most of the researches done on geometrical parameters to perform the mathematical modeling. This paper combines some of the above improvements on the performance of plant and combines them with new idea of heat source as waste heat in Aluto Langano geothermal power plant. Moreover, this study using dimensions of plant constructed in Manzanares, Spain height of chimney = 194.6 m, diameter of collector = 244 m, diameter of chimney = 10.16 m. The obtained result, the collector temperature increases by 7°C, the pressure potential is found 182.82 Pa, the pressure drop on the turbine was 121.88 Pa, the pressure loss was 60.94 Pa and the power output 123.59 kW. As a result, the collector efficiency increases to 43.58% and the overall efficiency of plant to 0.242%. Key: solar chimney, collector efficiency, thermal simulation
‘Don’t Forget the Children’: A Qualitative Study When a Parent Is at End of Life From Cancer
Authors: McCaughan Eilis , Semple Cherith J , Hanna Jeffrey R 
Published: April 2021

Abstract
Purpose: Preparation for end of life is one of the greatest challenges faced by parents with cancer who have dependent children (<18 years old); with requirement for support from professionals. This aim of this study is to explore how parents can be best supported in relation to their children, when a parent is at end of life from cancer. Methods: An interpretive qualitative study, using 79 semi-structured interviews with parents at end of life (n3), bereaved parents (n21), health and social care professionals (HSCPs), (n32) and funeral directors (n23) Data were analysed thematically and triangulated.Results: Parents are central to preparing their children for the death of a parent. Striving for everyday ordinariness, maximising social networks, maintaining hope, and making preparations for the future are helpful for families when a parent is at end of life. Most HSCPs were unaware of the challenges faced by parents at end of life, and psychosocial support was often left outside the caring realm. As a result, funeral directors noted complexities faced by the families after the death. Results are discussed under four themes: (1) communication with the children as a process, (2) coping throughout the unfolding end of life experience, (3) tension and complexities at end of life, and (4) preparing for the future.Conclusions: Parents should be reassured that by involving the children early in the end of life experience when the ill-parent is ‘well enough’ to parent, enables them to be actively involved in supporting their child through one of the greatest life changing event. A number of recommendations are discussed for professionals.
CALUX Bioassay analysis of PCDD/Fs and dioxin-like PCBs in Bovine milk and Municipal dumping site Ash samples from Indian environment
Authors: Mayilsamy Murugasamy , Sangeetha Seethappan , Nakamura Masafumi , Ko Shunkei , Govarthanan Muthusamy , Krishnamoorthi Vimalkumar 
Published: April 2021

Abstract
This study showed the distribution of PCDD/Fs and DL-PCBs in bovine milk and ash samples collected from urban and rural areas of south Tamil Nadu and one milk sample from Japan. Around 25 bovine milk samples and 16 ash samples were collected accordingly. The total TEQ for PCDD/Fs and DL-PCBs were ranged from 0.028 to 7.331 pg TEQ/g fat. Some of the districts were showed higher PCDD/Fs and DL-PCBs concentration in milk and ash samples. Further, BM14 (7.331 pg-TEQ/g fat) and BM21 (6.406 pg-TEQ/g fat) area exceed level of PCDD/Fs and DL-PCBs than WHO regulation limits (6 pg-TEQ/g fat). Likewise, BM3, BM8, and BM14 areas showed higher milk contamination by dioxins, which exceed the WHO regulation limit (3pg-TEQ/g fat). Similarly, the total TEQ for PCDD/Fs and DL-PCBs in ash samples was ranged from 0.02 to 1.2 ng TEQ/g. AS3 (1.2 ng-TEQ/g) and AS11 (1.06 ng-TEQ/g) areas showed higher dioxins and DL-PCBs among the samples. This study provides an overview of dioxins and dioxin-related compounds contamination in bovine milk and ash samples. Further, the CALUX assay method validation has simplifies the monitoring of dioxin contamination in the environment.
Association of Chromosomal Aberrations and Maternal Serum Progesterone Levels in First Trimester Miscarriages: A Case Series
Authors: Chiam Paula , Lim Cheryl Jia En , Allen John C. , Chang Kenneth , Yong Min Hwee , Tan Nguan Soon , Tan Thiam Chye , Ku Chee Wai 
Published: April 2021

Abstract
Fetal genetic aberrations constitute up to 50% of all early miscarriages, with aneuploidies accounting for the majority. Serum progesterone is useful in triaging women presenting with threatened miscarriage, and a low progesterone level has been associated with an increased risk of miscarriage. This study examined the association between chromosomal aberrations and maternal serum progesterone level measured at presentation with threatened miscarriage. In this prospective cohort study, we that recruited women who presented with threatened miscarriage and subsequently progressed to a complete miscarriage at or before 16 weeks of gestation. 9 patients with products of conception (POC) available were analysed. They were triaged at presentation based on their serum progesterone level and patients with a level < 35 nmol/L were treated with oral progestogen according to the hospital department protocol. Genetic material extracted from the POC was analysed with chromosomal microarray. In these 9 patients, most miscarriages (88%) were due to fetal genetic abnormalities and the most common genetic anomalies was trisomy (57%). Patients with abnormal POC karyotype had a low mean serum progesterone level of 24.0 ± 23.3 nmol/L. This level is much lower than the patient with a normal POC karyotype, who had a serum progesterone level of 42.9 nmol/L. The most common cause for miscarriages in this study was genetic anomalies and these affected patients had a low serum progesterone level (< 35 nmol/L). These patients miscarried despite treatment with oral progestogen, due to underlying fetal genetic abnormalities. Further studies should be conducted to validate the association between serum progesterone and genetic abnormalities and shed light on the etiologies and improve risk stratification for threatened miscarriage.
Effective Attributed Network Embedding with Information Behavior Extraction
Authors: Hu Ganglin , Pang Jun , Mo Xian 
Published: April 2021

Abstract
Network embedding has shown its effectiveness in many tasks such as link prediction, node classification, and community detection. Most attributed network embedding methods consider topological features and attributed features to obtain a node embedding, but ignore its implicit information behavior features, including information inquiry, interaction, and sharing. This can potentially lead to ineffective performance for downstream applications. In this paper, we propose a novel network embedding framework named information behavior extraction ( IBE ), that incorporates nodes' topological features, attributed features, and information behavior features into a joint embedding framework. To design IBE , we use an existing embedding method (e.g., SDNE, CANE, or CENE) to extract a node's topological features and attributed features into a basic vector. Then, we propose a topic-sensitive network embedding ( TNE ) model to extract node information behavior features and eventually generate information behavior feature vectors. In our TNE model, we propose an importance score rating algorithm ( ISR ), which considers both effects of the topic-based community of a node and its interaction with adjacent nodes to capture a node information behavior features. Eventually, we concatenate a node information behavior feature vector with its basic vector to get its ultimate joint embedding vector. Extensive experiments demonstrate that our method achieves significant and consistent improvements, compared to several state-of-the-art embedding methods on link prediction.
Breast Cancer, Diabetes Mellitus And Glucagon-Like Peptide-1 Receptor Toward Exploring Their Possible Associations
Authors: Takigami Naoko Hashimoto , Kuniyoshi Shimpei , Miki Yasuhiro , Tamaki Kentaro , Kamada Yoshihiko , Uehara Kano , Tsuchiya Seiko , Terukina Shigeharu , Iwabuchi Erina , Kanai Ayako , Miyashita Minoru , Ishida Takanori , Tamaki Nobumitsu , Sasano Hironobu 
Published: April 2021

Abstract
Purpose: Diabetes Mellitus (DM) has been one of the well known risk factors of breast cancer (BC) development and also associated with adverse clinical outcomes of BC patients. Glucagon-like peptide-1 (GLP-1) receptor agonists have been used as antidiabetic therapeutic agents and recent epidemiological studies have reported their use to be correlated with increased BC risks. However, biological or pathological details have remained unknown. Therefore, in this study, we examined the status of GLP-1 receptor (GLP-1R) in BC with and without DM and correlated the findings with the clinicopathological factors of the patients to explore the possible involvement of GLP-1 in BC pathology.Methods: We immunolocalized GLP-1R in cancer and adjacent non-pathological breast tissues in BC patients with DM (125 cases) and without DM (58 cases). We then compared the status of GLP-1R with that of fibroblast growth factor 7 (FGF7) and fibroblast growth factor receptor 2 (FGFR2), Ki-67 labeling index (Ki-67 LI) and disease free survival (DFS) of the patients and also between cancerous and non-pathological breast tissues.Results: GLP-1R immunoreactivity was significantly higher (p=0.044) in the patients with DM than without in carcinoma tissues. However, this was detected only in invasive carcinoma (p<0.01) and not in non-invasive carcinoma nor non-pathological mammary glands. FGF7 was significantly correlated with the status of GLP-1R in BC (p=0.045). In addition, in ER positive BC cases, those with GLP-1R positive status tended to have higher Ki-67 LI of more than 14% (p=0.070).Conclusion: These findings all demonstrated the possible association between GLP-1R status and biological features of BC, especially of invasive BC in DM patients.
Mortality Rate and Years of Life Lost Due to COVID-19 in Iran, Fars Province.
Authors: Azarbakhsh Habibollah , Mirahmadizadeh Alireza , Ghaem Haleh , Amiri Sanaz , Mokhtari Ali Mohammad , Lotfi Mehrzad , karimi Mohammadreza , Hemmati Abdolrasool 
Published: April 2021

Abstract
Introduction: Corona became a public health threat worldwide in late 2019, in which its main target is lower airway. The aim of this study was to calculate the mortality rate and years of life lost due to COVID-19 in Iran.Method: All definite deaths due to COVID-19 from February 20, 2020 to the February 12, 2021 have been used. Descriptive analyzes included mean and standard deviation of age at death, the number and sex ratio of deaths. Then the age and sex-specific mortality rate were calculated. YLL were calculated using the standard life expectancy based on the 2015 WHO life-table.Results: During the study period, 3169 (58.78% men and 41.22% women) definite coronary deaths occurred. The mean age at death was higher in women than men. The fatality rate of the disease was 1.83%. The highest number of years of life lost, according to both methods of YLL calculation, was in the age group of 69-60 years and the lowest was in the age group of 10-19 years.Conclusion: This study showed that due to the high mortality of this disease, decision makers should focus on reducing mortality in the start of the next waves of COVID-19.
Conversion of Brewers’ Spent Grain into Proteinaceous Animal Feed using Solid State Fermentation
Authors: Iliopoulos Christos , ARAPOGLOU DIMITRIOS , Chorianopoulos Nikos , Markou Giorgos , Haroutounian Serkos 
Published: April 2021

Abstract
Brewers’ Spent Grain (BSG) represents the 85% of the total residue produced during the beer brewing process, with a global annual production volume exceeding the 30 Mtons. Study herein concerns the application of solid state fermentation (SSF) process for the efficient transformation of BSG into high nutritional value animal feed. The investigated SSF procedure was initiated by Pleurotus ostreatus, which constitutes a natural source of β-glucans and metabolites (vitamins, nutrients). Thus, it is possible to reduce the environmental impacts caused by BSG production and simultaneously contribute to the tackling of proteinaceous animal feed shortage observed during the last decade. The method developed resulted in a significant increase of protein content by 49.49%, a 10-fold increase of their 1,3 − 1,6 β-glucans content and a respective reduction of cellulose content by 11.42%. The application of this method is expected to provide a solid background for the utilization of BSG as substrate for fungi initiated SSF, a bioprocess allowing the significant reduction of the environmental impact caused by the beer brewing industry and simultaneously produce animal feed with high protein content and nutritional characteristics suitable for fulfilling animals’ nutritional needs and improving their welfare.