bluuebunny/crossref_metadata_2025_split huggingface dataset:
KONDISI ANAK PEREMPUAN DAN DAMPAK PERKAWINAN ANAK (Studi Pandangan Ulama Perempuan Indonesia)
Authors: Muniri Akh Syamsul , Ulfiyati Nur Shofa 
Published: February 2023

ABSTRAKFenomena perkawinan anak masih seringkali terjadi di tengah-tengah masyarakat, bahkan dalam banyak kasus masih ditemukan KUA tetap melangsungkan perkawinan di bawah umur meskipun pasangan tersebut belum memiliki surat keputusan dispensasi dari pengadilan. Banyaknya faktor yang mendorong terjadinya perkawinan anak mendapat perhatian yang serius di kalangan ulama perempuan Indonesia, sebab mereka melihat kondisi anak perempuan sangat memprihatinkan. Pengadilan agama memiliki kecenderungan tinggi untuk mengabulkan permohonan dispensasi perkawinan, padahal dalam pelaksanaannya perkawinan anak berpotensi meningkatkan kasus perceraian. Penelitian ini mendeskripsikan pandangan ulama perempuan tentang kondisi anak perempuan dan dampak perkawinan anak. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan sumber data primer dari tokoh Kongres Ulama Perempuan Indonesia (KUPI) melalui wawancara langsung. Kondisi anak perempuan dan dampak perkawinan anak menurut ulama’ perempuan indonesia sangat berbahaya bagi masa depan anak, Bangsa dan Negara. Berbahaya bagi masa depan anak terkait kesehatan reproduksi, psikologis, ekonomi dan pendidikan, sedangkan berbahaya bagi Bangsa dan Negara terkait pembangunan Sumber Daya Manusia (SDM) yang rapuh dan kualitas generasi bangsa di masa depan terancam.Kata Kunci : Dampak Perkawinan Anak, Anak Perempuan, Ulama Perempuan Indonesia
Meningkatkan Keaktifan dan Hasil Belajar Siswa pada Materi Perangkat Lunak Pengolah Angka dengan Model Pembelajaran Berbasis Masalah berbantuan fitur AI pada Microsoft Excel Kelas VII di SMP Sinar Dharma
Authors: Wijaya Minarni , Basori Basori , Wulansari Astika 
Published: February 2023

<p>Paradigma pembelajaran saat ini menuntut siswa untuk aktif dalam kelas. Sayangnya masih banya siswa tidak aktif dikarenakan metode pembelajaran yang digunakan guru kurang aktif dan monoton. Penelitian ini bertujuan untuk meningkatkan aktivitas, dan hasil belajar siswa pada materi perangkat lunak pengolah angka terutama rumus dan fungsi <em>Microsoft Excel</em> 365 dengan memanfaatkan fitur AI (<em>Artificial Intelligence</em>) pada aplikasi <em>Microsoft Excel</em> 365. Penelitian ini merupakan penelitian tindakan kelas (PTK) yang dilaksanakan dalam dua siklus, dimana tiap siklus meliputi tahap perencanaan, pelaksanaan, pengamatan dan refleksi. Subjek penelitian ini adalah siswa kelas VII B SMP Sinar Dharma, Jakarta tahun pelajaran 2022/2023. Jumlah siswa dalam PTK ini adalah 25 orang. Perolehan data melalui pengamatan dan tes. Analisis data menggunakan reduksi data, penyajian data, dan pengambilan kesimpulan. Penelitian tindakan kelas ini menunjukkan bahwa penerapan model pembelajaran berbasiskan masalah dengan berbatuan fitur AI dapat meningkatkan aktivitas, dan hasil belajar siswa pada materi rumus dan fungsi pada <em>Microsoft Excel</em> untuk kelas VII B SMP Sinar Dharma, meningkat. Pengumpulan data dilakukan dengan memberikan tes untuk menilai hasil belajar siswa, dan melakukan pengamatan aktivitas siswa dalam pembelajaran untuk melihat respon siswa terhadap model pembelajaran yang digunakan. Berikut adalah hasil yang penulis dapatkan: 1) keaktifan siswa meningkat dari siklus I 60%, menjadi 75,3% pada siklus II, 2) respon siswa menyenangi penerapan fitur AI pada perangkat lunak pengolah angka <em>Microsoft Excel</em> pada siklus I 56% meningkat pada siklus II menjadi 72%, 3) peningkatan ketuntasan hasil belajar siswa pada siklus I 60% menjadi 76%. Kesimpulan dari penelitian ini adalah model pembelajaran berbasis masalah berbantuan AI pada <em>Microsoft Excel</em> 365 dapat meningkatkan aktivitas, dan hasil belajar siswa.</p>
Feasibility Test Analysis on the UPT Humas UNS Information System
Authors: Zunanta Dimas Tegar , Wihidayat Endar Suprih , Hatta Puspanda 
Published: February 2023

<p>The development of the UPT Humas UNS information system is carried out using the analysis, design, development, implementation, and evalution (ADDIE) methods. The evaluation technique used is black box testing involving two programming experts to assess the functional readiness of the information system. The feasibility test was carried out using two methods, namely the usability scale (SUS) system to determine the level of usability and the technology acceptance model (TAM) for acceptance analysis of the UNS Public Relations UPT information system. Based on the evaluation that has been carried out, the UNS Public Relations UPT information system that has been successfully developed can run functionally to serve the 12 existing services with a little record of improvement. Judging from the average SUS score obtained, which is 69.75, it is classified as good overall for the level of usability. For the results of the TAM analysis consisting of 6 TAM research hypotheses, the ease of using SI has a significant effect on the expediency and attitude in using SI. The expediency of SI has a significant effect on the attitude to use and the intention to use SI. The attitude to use SI has a significant effect on the intention to use SI and the intention to use SI has a significant effect on the actual use of the system.</p>
Sistem Pendukung Keputusan Rekomendasi Reksa Dana Obligasi Menggunakan Metode SAW (Simple Additive Weighting)
Authors: Buntoro Ghulam Asrofi , Astuti Indah Puji , Widiantoro Riki 
Published: February 2023

AbstrakReksa dana merupakan salah satu alternatif investasi bagi masyarakat yang memiliki keterbatasan modal, waktu dan pengelolaan keuangan dikarenakan dana masyarakat yang telah dikumpulkan dalam reksa dana dikelola oleh manajer investasi yang profesional. Untuk jenis reksa dana yang memiliki resiko sedang atau moderat adalah jenis reksa dana obligasi. Salah satu tempat untuk membeli dan menjual reksa dana secara online adalah aplikasi Bibit. Pada aplikasi bibit per April 2022 terdapat 32 produk reksa dana obligasi. Dari banyaknya produk reksa dana obligasi yang ada masyarakat atau investor kesulitan dalam memilih produk reksa dana obligasi yang terbaik. Maka dari itu, untuk memilih produk reksa dana obligasi terbaik diperlukan sistem pendukung keputusan berbasis web menggunakan algoritma Simple Additive Weighting (SAW). SAW dipilih karena dapat menentukan nilai bobot untuk setiap atribut yang kemudian dilanjutkan dengan proses perangkingan dalam menyeleksi alternatif terbaik. Pengujian sistem dilakukan menggunakan metode white box, hasilnya semua perintah terhadap sistem berhasil dilakukan dengan valid. Hasil dari penelitian ini berupa aplikasi sistem pendukung keputusan berbasis web yang responsive dan dapat memberikan rekomendasi untuk reksa dana obligasi terbaik dengan sistem perangkingan.Kata kunci: Bibit, Investasi, Reksa Dana, Simple Additive Weighting AbstractMutual funds are one of the alternative investments for people who have limited capital, time, and financial management because the public funds that have been collected in mutual funds are managed by professional investment managers. The type of mutual fund that has moderate or moderate risk, it is a type of bond mutual fund. One of the places to buy and sell mutual funds online is the Bibit application. In the Bibit application as of April 2022, there are 32 bond mutual fund products. Of the many bond mutual fund products that exist, the public or investors have difficulty choosing the best bond mutual fund product. Therefore, to choose the best bond mutual fund product, a web-based decision support system is needed using the Simple Additive Weighting (SAW) algorithm. SAW was chosen because it can determine the weight value for each attribute which is then continued with the ranking process in selecting the best alternative. The results of this study are in the form of a web-based decision support system application that is responsive and can provide recommendations for the best bond mutual funds with a ranking system.Keywords: Bibit, Investments, Mutual Funds, Simple Additive Weighting
An integrated modeling framework for groundwater contamination risk assessment in arid, data-scarce environments
Authors: Rafiei-Sardooi Elham , Ghazanfarpour Hossein , Azareh Ali , Parteli Eric J. R. , Faryabi Mohammad 
Published: February 2023

Abstract
Groundwater contamination risk mapping is one essential measure in groundwater management and quality control. The purpose of the present study is to address this mapping by means of a novel framework, which is more suitable for arid regions than other methods developed in previous work. Specifically, we integrate machine learning tools, interpolation and process-based models with a modified version of DRASTIC-AHP to evaluate groundwater vulnerability to nitrate contamination and to map this contamination in Jiroft plain, Iran. The DRASTIC model provides a tool for evaluating aquifer vulnerability by using seven parameters related to the hydrogeological setting (Depth to water, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, and hydraulic Conductivity), while the criteria ratings and weights of these parameters are evaluated by means of an Analytic Hierarchy Process (AHP). However, to obtain the risk map, the results about groundwater vulnerability are combined here with a contamination hazard map, which we estimate by applying ensemble modeling based, in part, on the occurrence probability predicted from Generalized Linear Model (GLM), Flexible Discriminant Analysis (FDA), and Support Vector Machine (SVM). Our integrated modeling framework provides an assessment of both regional patterns of groundwater contamination and an estimate of the impacts of the contamination based on socio-environmental variables, and is particularly suitable for applications based on limited amount of available data. The groundwater contamination risk map obtained from our case study shows that the central and southern regions of the Jiroft plain display high and very high contamination risk, which is associated with high production rate of urban waste in residential lands and an overuse of nitrogen fertilizers in agricultural lands. Therefore, our work is providing new modeling insights for the future assessment of groundwater contamination, with potential impacts for the management and control of water resources in arid and semi-arid environments.
Super-enhancer-driven lncRNA LIMD1-AS1 activated by CDK7 promotes glioma progression
Authors: Bian Erbao , Chen Zhigang , Cheng Meng , Xie Han , Zhao JiaJia , Liu Jun , Tian Dasheng , Zhao Bing , Fang Zhiyou , Chen Xueran 
Published: February 2023

Abstract
Long non-coding RNAs (lncRNAs) are tissue-specific expression patterns and dysregulated in cancer, how they are regulated is still unclear. We aimed to investigate the functions of glioma-specific lncRNA LIMD1-AS1 activated by super-enhancer (SE) and identify the potential mechanisms. In this paper, we identified a SE-driven lncRNA, LIMD1-AS1, which is expressed at significantly higher levels in glioma than in normal brain tissue. High LIMD1-AS1 levels were significantly associated with a shorter survival time of glioma patients. LIMD1-AS1 overexpression significantly enhanced glioma cells proliferation, colony formation, migration, and invasion, whereas LIMD1-AS1 knockdown inhibited their proliferation, colony formation, migration and invasion, and the xenograft tumor growth of glioma cells in vivo. Mechanically, inhibition of CDK7 significantly attenuates MED1 recruitment to the super-enhancer of LIMD1-AS1, and then decreases the expression of LIMD1-AS1. Most importantly, LIMD1-AS1 could directly bind to HSPA5, leading to the activation of interferon signaling. Our findings support the idea that CDK7 mediated-epigenetically activation of LIMD1-AS1 plays a crucial role in glioma progression, and provides a promising therapeutic approach for patients with glioma.
Detector-Grade Perovskite Single Crystal Wafers via Stress-Free Gel-Confined Solution Growth Targeting High-Resolution Ionizing Radiation Detection
Authors: Dong Qingfeng , Song Yilong , Wang Lixiang , Shi Yongqiang , Bi Weihui , Chen Jianwu , Hao Mingwei , Wang Anran , Yang Xueying , Sun Yuan , Yu Fan , Li Liansheng , Fang Yanjun , Yang Deren 
Published: February 2023

Abstract
Solution-processed organic‒inorganic halide perovskite (OIHP) single crystals (SCs) have demonstrated great potential in ionizing radiation detection due to their outstanding charge transport properties and low-cost preparation. However, the energy resolution (ER) and stability of OIHP detectors still lag far behind those of melt-grown inorganic perovskite and commercial CdZnTe counterparts due to the absence of detector-grade high-quality OIHP SCs. Here, we reveal that the crystallinity and uniformity of OIHP SCs are drastically improved by relieving interfacial stress with a facial gel-confined solution growth strategy, thus enabling the direct preparation of large-area detector-grade SC wafers up to 4 cm with drastically suppressed electronic and ionic defects. The resultant radiation detectors show both a small dark current below 1 nA and excellent baseline stability of 4.0×10− 8 nA cm− 1 s− 1 V− 1, which are rarely realized in OIHP detectors. Consequently, a record high ER of 4.9% at 59.6 keV is achieved under a standard 241Am gamma-ray source with an ultralow operating bias of 5 V, representing the best gamma-ray spectroscopy performance among all solution-processed semiconductor radiation detectors ever reported.
Inactivation of MGMT is Associated With the Efficacy of Streptozocin and High-grade Pancreatic Neuroendocrine Neoplasms
Authors: Yagi Kohei , Ono Hiroaki , Kudo Atsushi , Kinowaki Yuko , Asano Daisuke , Watanabe Shuichi , Ishikawa Yoshiya , Ueda Hiroki , Akahoshi Keiichi , Tanaka Shinji , Tanabe Minoru 
Published: February 2023

Abstract
Purpose
O6-methylguanine-DNA methyltransferase (MGMT) has been linked with alkylating agent resistance and tumor growth suppression. However, its role remains undetermined in pancreatic neuroendocrine neoplasms (Pan-NENs). This study examined the expression of MGMT in Pan-NENs and explored how MGMT affects the efficacy of the alkylating agent streptozocin (STZ).
Methods
The expression of MGMT was examined by immunohistochemistry (IHC) staining in 146 Pan-NEN patients at our institute; MGMT immunoreactivity and clinicopathological factors were evaluated.
Results
In 146 Pan-NEN, 99 cases (67.8%) were judged as MGMT-positive and 47 cases (32.2%) as negative. MGMT-negative cases were associated significantly with larger tumor size (p < 0.001), higher mitotic index (p < 0.001), and higher Ki-67 index (p < 0.001). Of the 19 cases treated with STZ, 6 cases were determined as SD and 4 cases as PD in MGMT-positive patients (N = 10), while 5 cases were determined as PR and 4 cases as SD in MGMT-negative patients (N = 9). Progression-free survival in MGMT-negative cases was significantly better than in MGMT-positive cases (p = 0.042).
Conclusions
MGMT expression was decreased with higher grade Pan-NENs, and STZ improved the therapeutic outcomes of MGMT-negative Pan-NENs. These findings indicate that higher grade Pan-NENs may represent a better therapeutic target for STZ treatment.
A novel nutritional parameters-based nomogram for predicting severe neutropenia after CAPEOX/XELOX or SOX adjuvant chemotherapy in gastric cancer patients
Authors: Gao Chun , Zhu Li , Zhang Yu Jie , Tong Yi Xin , Zhang Sheng 
Published: February 2023

Abstract
PurposeThe aim of this study is to develop and internal validate a novel and specific predictive model for severe neutropenia during adjuvant chemotherapy cycles among patients with gastric cancer.
Methods We included 391 gastric cancer patients underwent curative laparoscopic D2 gastrectomy and divided them into development cohort and validation cohorts. The study endpoint was grade 3/4 neutropenia. Multivariate logistic regression was performed to analyze the independent risk factor of severe neutropenia. Predictive nomogram was constructed based on the multivariate model using R. We applied area under ROC curve (AUC) and decision curve analysis (DCA) to evaluate the performance of the model.
Results 318 patients and 73 patients were divided into development and validation cohorts, treated with 1518 and 356 chemotherapy cycles respectively. The multivariable analysis revealed 4 predictive factors for severe neutropenia: Age, prealbumin level, prognostic nutritional index (PNI) and neutropenia in previous cycles. The constructed nomogram displayed a good predictive value, with AUCs as 0.825 (95%CI, 0.789-0.860) and 0.810 (95%CI, 0.783-0.835) in development and validation cohorts.
ConclusionsWe developed and internally validate a novel and specific risk prediction model for severe neutropenia among gastric cancer patients during adjuvant chemotherapy. This model is user-friendly and can guide clinical decision for personalized treatment plan. Further external validation should be necessary.
Melatonin strongly enhances the Agrobacterium- mediated transformation of carnation in nitrogen-depleted inoculation and co-cultivation media
Authors: Aalami Omid , Azadi Pejman , Hadizadeh Hanieh , Wilde H. Dayton , Karimian Zahra , Nemati Hossein , Samiei Leila 
Published: February 2023

Abstract
With the rising demand for new cultivars of carnation, efficient transformation protocols are needed to enable the bioengineering of new traits. Here, we established a novel and efficient Agrobacterium-mediated transformation system using callus as the target explant for four commercial carnation cultivars. Leaf-derived calli of all cultivars were inoculated with Agrobacterium tumefaciens strain LBA4404 containing the plasmid pCAMBIA 2301 harboring genes for β-glucuronidase (uidA) and neomycin phosphotransferase (nptII). Polymerase chain reaction (PCR) and histochemical assays confirmed the presence of uidA and β-glucuronidase (GUS), respectively in transgenic shoots. The effect on transformation efficiency of medium composition and the presence of antioxidants during inoculation and co-cultivation was investigated. The transformation efficiency was increased to 5% in Murashige and Skoog (MS) medium lacking KNO3 and NH4NO3, compared to 0.6% efficiency in full-strength medium. The omission of other components including the entire macro- and microelements, Fe or vitamins from MS medium was also observed to increase gene transfer. Transformation efficiency was increased dramatically to 24.4% across all carnation cultivars by the addition of 2 mg/l melatonin to nitrogen-depleted MS medium. Shoot regeneration was also doubled in this treatment. The establishment of this efficient and reliable transformation protocol can advance the development of novel carnation cultivars through molecular breeding approaches.
Predictors assisting treatment choices between cyclophosphamide and cyclosporine in membranous nephropathy
Authors: He Hong-Guang , Peng Xiao-Mei , Liang Qin-Qing , Ye Kun , Huang Yi-Yun , Zeng Chun , Zhang Yan-Fei , Wu Chao-Qing , Wu Qiu-Xia , You Yan-Wu 
Published: February 2023

Abstract
Background: Cyclophosphamide (CTX) and cyclosporine (CsA) are used in idiopathic membranous nephropathy (IMN); however, limited data comparing their efficacy are available. We aimed to determine the baseline clinicopathological predictive factors of renal outcome in patients with IMN who received CTX or CsA. We also attempted to establish simple risk scores for predicting renal outcomes in IMN patients prescribed CsA-based initial treatment.
Method: We retrospectively included 516 patients with biopsy-proven IMN from January 1, 2007 to October 31, 2019. The primary outcome was no remission and a decline of renal function in IMN patients who received CTX and CsA as initial treatment.
Results: The CsA group showed higher complete remission (CR) rate at 6 months, and no significant difference in accumulative total remission between the two groups was observed in the initial 12 months. Independent predictors of primary outcomes were urine protein content and serum albumin in the CTX-based group and serum creatinine, triglyceride, and focal segmental glomerulosclerosis (FSGS) lesions in the CsA-based treatment group. The area under the receiver operating characteristic curve based on a three-variable risk score in predicting primary outcome was 0.791 (95% CI 0.720–0.862). IMN patients with FSGS lesions who received CsA-based initial treatment had a higher percentage of primary outcome and a lower CR rate.
Conclusion: Serum creatinine, hypertriglyceridemia, and FSGS lesions were important predictors of a worse prognosis in CsA-based initial treatment patients. Our simple risk score was able to predict renal outcomes in IMN patients receiving CsA-based initial treatment with good discrimination.
Name of the registry: Chinese Clinical TrialRegistry
Trial registration number: ChiCTR2200059658
May 5, 2022 Retrospectively registered
URL of trial registry record: https://www.chictr.org.cn/hvshowproject.aspx?id=168696
Community of Inquiry, Self-Efficacy, and Student Attitudes in Sustained Remote Health Professions Learning Environments
Authors: Burbage Amanda K. , Jia Yuane , Hoang Thuha 
Published: February 2023

Abstract
The purpose of this study was to investigate the impact of Community of Inquiry (CoI) presence types and self-efficacy on perceived student attitudes within a sustained remote learning environment. As institutions must remain ready for modality-altering situations, a better understanding of CoI and self-efficacy in sustained remote teaching and learning environments may help address gaps in current practices and perceived student attitudes. An interinstitutional team of health professions education researchers from six U.S. universities collected survey data from 205 health professions students representing a wide range of professions in five U.S. institutions. Latent mediation models under structural equation modeling framework were used to examine whether student self-efficacy mediates the relationship between CoI presence and student’s favorability of sustained remote learning delivered in the prolonged stages of the COVID-19 pandemic. Results showed that higher levels of teaching presence and social presence in the remote learning environment were associated with higher levels of remote learning self-efficacy which, in turn, predicts variance in positive attitudes toward remote learning. Only direct effects for cognitive presence and self-efficacy on the favorability of sustained remote learning were observed. CoI presence types explained 61%, 64%, and 88% of the variance respectively in student’s favorability of sustained remote learning. Theoretical implications of this study include the establishment of the CoI and its three presence types as a relevant and stable framework for investigating sustained remote health professions teaching and learning environments, not only carefully designed online learning environments.