Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Center Power Supply Systems: From Grid Edge to Point-of-Load

Data centers consume about 2% of the world’s electricity with continuing growth. The power supply system plays a significant role in the energy saving and decarbonization of data centers. The development of power electronics brings opportunities for more efficient and reliable data centers. This article presents an overview of the data center power supply system covering the power delivery path from the grid edge to onboard point-of-load (PoL) conversion. The system architectures are introduced at first with the discussion on efficiency and reliably. The power conversion stages of data center power supply system are discussed as ac–dc conversions and dc–dc conversions. The state-of-the-art techniques in topology, control, and device are investigated. This article is an attempt to provide an overview for high-performance data center power supply system design.
Intelligent Prediction of Customer Churn with a Fused Attentional Deep Learning Model

In recent years, churn rates in industries such as finance have increased, and the cost of acquiring new users is more than five times the cost of retaining existing users. To improve the intelligent prediction accuracy of customer churn rate, artificial intelligence is gradually used. In this paper, the bidirectional long short-term memory convolutional neural network (BiLSTM-CNN) model is integrated with recurrent neural networks (RNNs) and convolutional neural networks (CNNs) in parallel, which well solves the defective problem that RNNs and CNNs run separately, and it also solves the problem that the output results of a long short-term memory network (LSTM) layer in a densely-connected LSTM-CNN (DLCNN) model will ignore some local information when input to the convolutional layer. In order to explore whether the attention bidirectional long short-term memory convolutional neural network (AttnBLSTM-CNN) model can perform better than BiLSTM-CNN, this paper uses bank data to compare the two models. The experimental results show that the accuracy of the AttnBiLSTM-CNN model is improved by 0.2%, the churn rate is improved by 1.3%, the F1 value is improved by 0.0102, and the AUC value is improved by 0.0103 compared with the BLSTM model. Therefore, introducing the attention mechanism into the BiLSTM-CNN model can further improve the performance of the model. The improvement of the accuracy of the user churn prediction model can warn of the possibility of user churn in advance and take effective measures in advance to prevent user churn and improve the core competitiveness of financial institutions.
Impact of correlation and induced correlation on the estimation of project cost of buildings

Treatment of correlation between variables is necessary for deriving any theoretical distribution of the project cost of buildings. This paper highlights some often ignored theoretical requirements necessary for a rigorous treatment of correlations. The condition for a positive definite correlation matrix is described, along with an analytical procedure and a computer program developed to verify the positive definite condition when correlation coefficients between input variables are estimated using historical data. The analytical procedure and the developed computer program can be used in any application that obtains correlation information from historical data or as subjective judgements to be used in a functional relationship. A new concept called induced correlation is suggested to define and to treat correlation between derived variables that arise from the common (shared) primary variables in their functional forms. A published numerical example is used to highlight the stages where correlation between variables can have an impact on the estimation of moments (estimated expected value and estimated standard deviation) for the project cost of buildings, and to demonstrate the improvement in the estimation of the standard deviation of project cost as a result of treating correlations in risk analysis.
Staying in the loop: Quality of family‐paid caregiver communication and influences on resident mental health in long‐term care

Considerable research has examined communication dynamics among family members and staff in nursing homes (NHs) and has demonstrated that better communication is associated with more optimal mental health outcomes in both family caregivers and paid caregivers. However, the literature on how communication dynamics influence mental health in long‐term care residents is limited and it has yet to be determined how communication impacts residents across care contexts, such as assisted living facilities (ALFs). The purpose of this study is to examine family caregivers' perceptions of communication with paid caregivers and its influence on long‐term care resident outcomes and to compare how results differ across care settings (NHs vs. ALFs).
Understanding Attitudes, Beliefs, and Behaviors Surrounding Menopause Transition: Results from Three Surveys

Purpose To understand women’s perspectives, attitudes, and beliefs surrounding menopause transition and increase understanding of digital technology use for symptom management. Patients and Methods Information was obtained using three studies of women aged 40–65 years experiencing menopause transition symptoms. The HealthyWomen online cross-sectional survey was designed to reflect an inclusive sociodemographic sample representative of the US population. BECOME was a blinded, ethnographic, qualitative research study of women’s menopause transition experiences and comprised facilitator-led online asynchronous discussions, online homework entries, and audio-only teleconferences. The NODE.Health online, two-part, cross-sectional patient survey was designed to capture patient and healthcare provider (HCP) sentiment about the use of digital health technologies to address gaps in perimenopausal symptom knowledge and management. Results The HealthyWomen survey included 1045 participants, 37 were included in BECOME, and 100 completed the NODE.Health survey. Hot flashes, night sweats, and sleep problems were the most frequently experienced symptoms in the HealthyWomen survey, and over half of participants experiencing symptoms felt the need to seek relief. Whether menopause was considered a medical problem or natural process differed by self-identified race, culture, and ethnicity, as did the likelihood of consulting a HCP over symptoms. Participants preferred to discuss menopause transition with HCPs who did not rush them, were good listeners, and had expertise in the area. Most technology experience was with health websites, but nearly half were unsatisfied with online resources describing menopause-related symptoms. Convenience, ease of use, and accessibility were the most common reasons for pursuing digital health technology. Conclusion Factors such as cultural beliefs, values and attitudes towards menopause determine personal experiences. More open discussions with friends, family, and HCPs may raise awareness and reduce barriers to seeking help. To provide optimal care throughout the menopause transition, HCPs should consider patients’ psychosocial and cultural backgrounds, and personal and subjective perspectives.
Competition between two kinds of information among random-walking individuals

A model is proposed to describe the competition between two kinds of information among N random-walking individuals in an L × L square, starting from a half-and-half mixture of two kinds of information. Individuals remain or change their information according to their neighbors' information. When the moving speed of individuals υ is zero, the two kinds of information typically coexist, and the ratio between them increases with L and decreases with N. In the dynamic case (υ > 0), only one information eventually remains, and the time required for one information being left scales as Td ∼ υα Lβ Nγ.
A Rare Case of Thoracoabdominal Paraganglioma: A Case Report and Literature Review

Pheochromocytomas and paragangliomas are rare neuroendocrine tumors. Pheochromocytomas are derived from chromaffin cells of the adrenal medulla, while paragangliomas arise from the extra-adrenal autonomic paraganglia. Paragangliomas can derive from either parasympathetic or sympathetic paraganglia. The majority of parasympathetic ganglia-derived paragangliomas are nonfunctional and symptoms arise from mass effect, while sympathetic paragangliomas are frequently functional and present with symptoms that result from catecholamine hypersecretion. Here, we present the case of a 19-year-old female with hypertension whose biochemical tests revealed elevated plasma and urinary levels of norepinephrine and normetanephrine. Imaging studies showed a left paravertebral mass which was surgically removed. Histopathology confirmed a paraganglioma. Total surgical resection remains the gold-standard treatment and a cure can be achieved; however, all tumors may harbor malignant potential, and a long-term biochemical and imaging follow-up is required in all patients. Screening for genetic germline mutations may be helpful in identifying patients with a higher risk of recurrence or of developing other primary tumors.
Spin dependent tunneling spectroscopy in 1.2 nm dielectrics

We demonstrate voltage controlled spin dependent tunneling in 1.2 nm effective oxide thickness silicon oxynitride films. Our observations introduce a simple method to link point defect structure and energy levels in a very direct way in materials of great technological importance. We obtain defect energy level resolution by exploiting the enormous difference between the capacitance of the very thin dielectric and the capacitance of the depletion layer of moderately doped silicon. The simplicity of the technique and the robust character of the response make it, at least potentially, of widespread utility in the understanding of defects important in solid state electronics. Since the specific defect observed is generated by high electric field stressing, an important device instability in present day integrated circuitry, the observations are of considerable importance for present day technology. Since the observations involve inherent high sensitivity and tunneling, and since the process can be turned on a.
IMPLEMENTASI KOMUNIKASI ORGANISASI PIMPINAN DALAM PELAKSANAAN PENJAMINAN MUTU PENDIDIKAN DI IAIN BONE

Penelitian ini dilakukan dengan tujuan menganalisis implementasi komunikasi organisasi pimpinan dalam pelaksanaan penjaminan mutu pendidikan di IAIN Bone. Jenis penelitian ini adalah penelitian kualitatif pendekatan studi kasus. Data primer diperoleh dari pimpinan perguruan tinggi dan dosen IAIN Bone. Data sekunder diperoleh dari dokumen. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Analisis dilakukan dengan mereduksi data, menyajikan dan menarik kesimpulan. Hasil penelitian menemukan bahwa komunikasi organisasi pimpinan dalam pelaksanaan penjaminan mutu pendidikan melalui dua bentuk, yaitu komunikasi formal dan komunikasi informal. Komunikasi formal dilakukan melalui tiga bentuk, yaitu komunikasi ke bawah, kemunikasi ke atas, dan komunikasi horizontal. Sementara komunikasi informal merupakan komunikasi yang dilakukan dengan penuh keakraban di antara anggota percakapan tanpa dibatasi oleh struktur maupun jabatan dalam organisasi. Anggota perkacakapan informal tidak hanya dalam satu fakultas, akan tetapi terkadang melibatkan dosen dan pegawai lintas fakultas dan jurusan. Implikasi penelitian, perguruan tinggi hari ini semakin tertantang untuk terus meningkatkan mutu pendidikan, baik berbasis BAN-PT maupun mutu berbasis penilaian masyarakat. Pendekatan BAN-PT, mutu perguruan tinggi nyaris ditentukan oleh kelengkapan administrasi dan dokumentasi. Akan tetapi, mutu dalam penilaian masyarakat diukur berdasarkan kebermanfaatan mahasiswa atau alumni dari suatu perguruan tinggi
PREDIKSI KUALITAS AIR MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN RANDOM FOREST

Air sangat penting bagi kehidupan semua organisme termasuk manusia, tumbuhan, atau hewan. Kualitas air yang baik sangat penting, pencemaran air dapat menimbulkan risiko yang berbahaya. Saat ini untuk mendeteksi kualitas air perlu dilakukan uji laboratorium. Pengujian ini membutuhkan analisis yang kompleks sehingga membutuhkan waktu yang lebih lama untuk mendeteksi kualitas air. Oleh karena itu, peneliti akan melakukan penelitian tentang prediksi kualitas air dengan melihat beberapa parameter yang mengandung informasi air tersebut. Dataset kualitas air berasal dari Kaggle. Metode data mining yang digunakan adalah algoritma Random Forest dan algoritma Naïve Bayes. Kedua algoritma ini merupakan algoritma klasifikasi yang dapat membantu kita untuk memprediksi kualitas air. Dengan menggunakan kedua algoritma tersebut didapatkan akurasi 79% untuk algoritma Random Forest dan akurasi 55% untuk algoritma Naïve Bayes. Setelah itu kami mengimplementasikan kedua algoritma tersebut ke website sederhana dengan framework flask. Penelitian selanjutnya dapat mencoba menggunakan algoritma lain seperti ANN, K-NN, atau Decision Tree.
Analytical validation of time‐step interpolation in transient insular nodal analysis

The transient insular nodal analysis method (TINA) combines elements from the finite differences (FD) and transmission‐matrix methods (TLM) in one unified approach. In contrast to existing TLM‐FD methods, TINA uses time‐decoupled cells, avoiding the need for solving large system matrices. The time‐decoupled cells allow for easy parallelisation, and the solution of large systems in detail. Due to the use of an exact transmission‐line model in the cells, wave propagation can be computed without the need for discretisation of the equations, nor the use of prediction, yielding an unconditionally stable method. Boundary conditions are implicit, and are solely defined by the wave speed and characteristic impedance of the medium. One key difference with the TLM method is how cells whose transmission time is not an integer multiple of the simulation time step are integrated in the simulation. These mismatches occur due to the the varying wave speeds of the different media in the cells. In TINA, the match is obtained through interpolation, as opposed to the stub‐matching methodology employed in TLM. In this paper, we will demonstrate the validity of the interpolation approach analytically, as well as compare the TINA method to a theoretical case.
Near-Infrared H2 and [Fe II] Imaging and Spectroscopy of New Jets in the Vela Molecular Clouds

We present narrowband imaging in the 2.122 μm transition of H2 and in the 1.644 μm transition of [Fe II] of a sample of 12 protostellar candidates and three Herbig-Haro (HH) objects belonging to the Vela molecular ridge (VMR). Out of the 15 investigated fields, we detected H2 emission in IRS 63, 17, 19, 21, and 8 (according to our catalog), while [Fe II] was observed toward only one source (IRS 8), where a counterjet has been identified for the first time. H2 and [Fe II] images have been combined to trace the different shock conditions along this jet. In addition, a new pure molecular H2 jet was discovered in IRS 17, which results in about 20 knots of emission extending up to 0.3 pc from the central driving source. IR spectroscopy (1.55-2.55 μm) at a resolution of ≈600 of the most prominent knots has revealed a large number of H2 emission lines, which were used to evaluate both the extinction and the excitation temperature along the flow. The observed increase of the excitation temperature with the distance from the central source was interpreted as being due to a decrease of the flow velocity with time or, alternatively, to the fact that internal knots travel in a medium already put into motion by previous shock events. Comparisons with model predictions indicate nondissociative C-shocks as the most likely mechanism for line excitation. Finally, the presence of a common alignment of the detected flows with the Galactic plane indicates that the Galactic B field affects the star formation on large scales in VMR.
The Long-Term Impact of in Utero Cigarette Taxes on Adult Prenatal Smoking

This study examines the long-term link between in utero cigarette taxes and adult prenatal smoking. We use US birth certificate records to demonstrate that exposure to higher in utero cigarette taxes (over 1965–2001) reduces later-life adult pre-pregnancy and prenatal smoking. We also show that higher in utero cigarette taxes have long-lasting effects on adult health and intergenerational consequences for infant health. Finally, we demonstrate that larger in utero tax responsiveness correlates with smaller contemporary cigarette tax responsiveness, suggesting that higher in utero taxes may alter the composition of remaining smokers and contribute to reductions in contemporary cigarette tax responsiveness.
Ponesimod: An Oral Second-Generation Selective Sphingosine 1-Phosphate Receptor Modulator for the Treatment of Multiple Sclerosis

Objective: To describe the safety, efficacy, and potential role in therapy of ponesimod, which was recently approved by the Food and Drug Administration (FDA) as a therapeutic option for the treatment of multiple sclerosis (MS). Data Sources: A PubMed literature search using the following terms: ponesimod and MS (January 1, 2012-October 31, 2022). FDA product labeling was also reviewed for pertinent data sources. Study Selection and Data Extraction: All relevant English-language articles examining efficacy and/or safety of ponesimod were considered for inclusion. Data Synthesis: Ponesimod is an orally administered second-generation sphingosine 1-phospate (S1-P) receptor modulator classified as a disease modifying treatment (DMT) for MS. Clinical studies have shown that ponesimod prevents relapse in patients with relapsing-remitting MS (RRMS) and has superior efficacy compared with teriflunomide. Nasopharyngitis, upper respiratory tract infections, headache, high blood pressure, and liver dysfunction were some of the common adverse effects associated with ponesimod. Dyspnea, bradyarrhythmias, atrioventricular conduction delays, and macular edema were some of the rare but serious adverse effects associated with ponesimod. Relevance to Patient Care and Clinical Practice in Comparison With Existing Agents: Some advantages of ponesimod over other S1-P receptor modulators approved for RRMS include selectivity for the S1-P1 receptor and short half-life, which allows for quick reversal of immunosuppressive effects. However, data from long-term efficacy and safety studies and more direct comparison studies with other DMTs are required. Conclusion: Currently available data suggest that ponesimod is a useful addition to other high-efficacy DMTs available to treat patients with MS.
The impact of dual energy CT on pseudo enhancement of kidney lesions

Renal lesion detection and characterization using Computed Tomography is an important application in genitourinary radiology. Although in general the detection of renal lesions has been shown to be exceedingly accuratce, the detection of benign renal cysts is still problematic. Under certain circumstances, the attenuation values inside a cyst increase incorrectly with an increase in the iodine concentration in the surrounding soft tissue. This so called pseudoenhancement complicates the classification of cysts and creates severe difficulties to distinguish a benign nonenhancing lesion from an enhancing mass. In the present study, the standard procedure based on a single energy 120 kV mode is compared to three dual energy modes available on the Siemens Somatom Definition Flash scanner. In order to simulate the kidney and the lesions, several plastic rods were placed inside a small container filled with different iodine concentrations. This phantom is then positioned inside water tanks of different sizes. The rods simulating the lesions are made out of a special plastic with constant HU value throughout the relevant X-ray energy range. During the project, three important aspects have been discovered: 1) for normal situations, a 100/140 Sn kV mode on the Siemens Flash scanner is similar to the traditional single energy 120 kV mode. 2) For small patient sizes, all dual energy modes show a reduction of pseudoenhancement. 3) For larger patients, only the 100/140 Sn kV mode results in a reduction of pseudoenhancement. Both the 80/140 kV and the 80/140 Sn kV mode show a worse performance than the 120 kV single energy mode in a very large phantom size.
Centroid-Based Multiple Local Community Detection

In recent years, the research of local community detection has attracted much attention. Most existing local community detection methods aim to find a single community of closely related nodes for a given query node, but in general, nodes are possible to belong to several communities, and detecting all the potential communities for a given query node is much more challenging. In this work, we propose a novel approach called the centroid-based multiple local community detection (C-MLC) to find all the communities for a query node. Differing from the existing local community detection methods that directly find a community from the query node, we assume that every community contains a “centroid” node, which locates in the core of the community and can be used to identify the community. Then, a query node corresponds to several centroid nodes if the query node belongs to multiple communities. The key ideas of C-MLC are that C-MLC automatically determines the number of communities containing the query node by finding the related centroid nodes and uses each query node together with the centroid node to uncover the corresponding community based on a set of high-quality seeds. Through extensive evaluations on real-world networks and synthetic networks, C-MLC outperforms the state-of-the-art methods significantly, demonstrating that finding the centroid nodes is a better approach to uncover the multiple local communities.
Investigation and Analysis of Pollution Source Status in Shaanxi Section of Weihe River Basin

Building ecological civilization has become a consensus of the whole society. However, problems caused by water pollution and shortage of water resources cause huge economic losses every year. Over the years, the issue of water pollution in the Weihe River has attracted widespread attention from all walks of life. The premise of controlling the water pollution of the Weihe River is to find out the sources of pollution and the amount of pollutants discharged. Therefore, this study takes the Shaanxi section of the Weihe River Basin as the research section, and conducts a basic survey of the water pollution status of the main stream and tributaries of the Weihe River, and analyzes the sources, types and discharges of major wastewater pollutants, so as to provide the basis and basic data for the comprehensive management of the Weihe River Basin.