nils-herrmann/clean_scirepeval huggingface dataset:
PROSES ASUHAN GIZI TERSTANDAR PADA PASIEN KANKER PAYUDARA YANG MENJALANI RAWAT INAP DI RSUD PROF. DR. MARGONO SOEKARJO PURWOKERTO
Year: 2020

PROSES ASUHAN GIZI TERSTANDAR PADA PASIEN KANKER PAYUDARA YANG MENJALANI RAWAT INAP DI RSUD PROF. DR. MARGONO SOEKARJO PURWOKERTO Zulfa Nurdiana Putri1, Nur Hidayat2, M. Dawam Jamil3  Gizi Poltekkes Kemenkes Yogyakarta, Jl. Tatabumi No.3, Banyuraden, Gamping, Sleman, Yogyakarta 55293, (0274) 617601 Email Putri.zlf@gmail.com Abstrak Latar Belakang: Prevalensi kanker payudara di Indonesia berdasarkan GLOBOCAN (2018) kanker payudara menempati urutan kedua penyakit kanker dengan kasus baru terbanyak di dunia yaitu 11,6% dengan 2,08 juta kasus baru dan menempati urutan kelima pada kasus kematian kanker terbanyak dengan 6,6% atau 626.679 kematian. Di Indonesia kanker payudara merupakan kanker dengan kasus baru terbanyak yaitu 16,7% atau sebanyak 58.256 kasus baru. Menurut M. Tabrani (1999) Kekurangan gizi merupakan salah satu faktor yang sangat mempengaruhi hasil pengobatan kanker karena pasien relatif lebih tahan terhadap terapi kanker bila kecukupan gizi dan status gizi yang baik dari pada pasien yang berstatus gizi buruk serta kecukupannya kurang.  Mendeskripsikan pelaksanaan proses asuhan gizi terstandar pada pasien kanker payudara yang menjalani rawat inap di RSUD Prof. Dr. Margono Soekarjo Purwokerto Metode Penelitian: Studi kasus penelitian ini di RSUD Prof. Dr. Margono Soekarjo Purwokerto. Jumlah subyek satu orang pasien kanker payudara. Fokus studi yaitu melakukan skrining gizi, pengkajian gizi, menentukan diagnosis gizi, melakukan intervensi gizi, monitoring evaluasi, dan konseling gizi. Analisis data secara deskriptif dan penyajian data dengan grafik dan tabel.  Skrining gizi menggunakan MUST pasien beresiko malnutrisi, status gizi pasien baik, pasien anemia dan memiliki riwayat penyakit hipertensi dengan keluhan mual muntah, pusing, dan tidak nafsu makan. Asupan makan selama intervensi menunjukkan kenaikan pada hari pertama dan hari kedua, tetapi terdapat penurunan pada hari ketiga karena pasien dipuasakan untuk menjalani CT Scan. Selama menderita kanker payudara pasien sudah pernah mendapatkan konseling gizi.  Mual muntah pasien berkurang, tekanan darah pasien normal, asupan makan pasien meningkat pada hari pertama dan kedua, tetapi mengalami penurunan pada hari ketiga.  Asuhan Gizi, Kanker Payudara
A two stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method
Venue: Neurocomputing
Year: 2018

Selecting the most discriminative features from the original high dimensional feature space and finding out the optimal parameters for recognition model both have vital influences on the accuracy of fault diagnosis for complicated mechanical system. However, as these two important processes are interactional, conducting them separately may result in inferior diagnostic accuracy. This paper presents a feature selection and fault diagnosis framework which can select the optimal feature subset and optimize the parameters of SVM classifier synchronously and dynamically with the ultimate objective of achieving the highest diagnostic rate. The proposed method is based on a hybrid Filter and Wrapper framework. Since the original feature dimensionality is high which may lead to a lower computation efficiency of the process of synchronous feature selection and SVM parameters optimization, ReliefF is applied for preliminarily selecting some optimal feature candidates. Furthermore, in the reselection process, the reselection state of feature candidates and the values of classifier parameters are all encoded into BPSO particles. The optimal feature subset and the SVM model can be synchronously obtained for fault diagnosis with a high performance. Moreover, in the original feature extraction stage, intrinsic time scale decomposition (ITD) is utilized to preprocess the nonstationary vibration signal into several PRCs. The statistical parameters in time and frequency domain of PRCs are extracted as the multitudinous original features for each signal sample. Two experimental cases including rolling bearing fault and rotor system fault are implemented to evaluate the proposed scheme. The results demonstrate that compared with some existing methods the proposed one can obtain a better comprehensive performance in the number of optimal features, training time and testing accuracy.
A review of money laundering literature: the state of research in key areas
Year: 2020

The purpose of this study is to review the literature on money laundering and its related areas. The main objective is to identify any gaps in the literature and direct attention towards addressing them.,A systematic review of the money laundering literature was conducted with an emphasis on the Pro Quest, Scopus and Science Direct databases. Broad research themes were identified after investigating the literature. The theme about the detection of money laundering was then further investigated. The major approaches of such detection are identified, as well as research gaps that could be addressed in future studies.,The literature on money laundering can be classified into the following six broad areas: anti money laundering framework and its effectiveness, the effect of money laundering on other fields and the economy, the role of actors and their relative importance, the magnitude of money laundering, new opportunities available for money laundering and detection of money laundering. Most studies about the detection of money laundering have focused on the use of innovative technologies, banking transactions or real estate and trade based money laundering. However, the literature on the detection of shell companies being explicitly used to launder funds is relatively scarce.,This paper provides insights into an area related to money laundering where research is relatively scant. Shell companies incorporated in the UK alone were identified to be associated with laundering PS80bn of stolen money between 2010 and 2014. The use of these entities to launder billions of dollars as witnessed through the laundromat schemes and several data leaks clearly indicate the need to focus on illicit financial flows through such entities.
New and emerging AAC technology supports for children with complex communication needs and their communication partners: State of the science and future research directions
Venue: Augmentative and alternative communication
Year: 2019

This paper discusses recent research and development with a specific focus on selected new and emerging research based augmentative and alternative communication (AAC) technologies that are developmentally appropriate and responsive to the individual interests, needs, and skills of children with developmental disabilities, their families, peers, and other communication partners. Specifically, this paper reviews the state of the science and future directions related to recent research and development of AAC technologies as supports to (a) enhance language learning, (b) facilitate social interaction, (c) improve literacy skills, (d) increase participation in society, and (e) teach interaction strategies to communication partners.
Rancangan Bangun Aplikasi Pembelajaran dengan Memanfaatkan Chatbot API Dialogflow dan Moodle Berbasis Android Pada SMA IT ALIA Tangerang
Year: 2018

Android, Chatbot, Moodle, Study, Dialogflow Some of the problems in SMA IT Alia are currently the students having trouble if you have to get materials easily and quickly when students were out of school hours as well as students having trouble if you have to understand about materials when students permission did not go to school. It is hoped that this application can make it easier for students in getting information a course in the form of Chatbot, and allow teachers to get into the class of digital to access and upload the subject matter Moodle. Through technology Chatbot, in SMA IT Alia are currently students are expected to be questions and answer about understanding the subject matter. Chatbot can interpret the message given by the user, the process, the message, the excute what needs to chatbot do based on orders from users, and the outcome of the execution of programs are provided to users  Based on the results of tests carried out, then it can be concluded that the construction of this application will results in application of learning to chatbot is based on android. Its is hoped that the construction of the application of learning to chatbot, the students in SMA IT Alia the city of Tangerang will facilitate in the activities of the study
Improving Overall Equipment Effectiveness (OEE) through integration of Maintenance Failure Mode and Effect Analysis (maintenance FMEA) in a semiconductor manufacturer: A case study
Venue: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Year: 2015

In order to continue survive in today's competitive business environment, the key to success for many manufacturing companies is productivity. In response to the external pressure of global competition, many firms were compelled to implement and focus on productivity improvement. Numerous quality management approaches and tools such as Toyota Production System (TPS) Total Productive Maintenance (TPM) Failure Mode and Effect Analysis (FMEA) and Lean Manufacturing had been developed in order to achieve operational excellent. TPM is a world class manufacturing strategy which helps manufacturers to reduce production waste. Overall Equipment Effectiveness (OEE) provides a quantitative metric to measure effectiveness of TPM implementation. This paper presents the implementation of maintenance FMEA to improve OEE in a semiconductor manufacturing firm. The FMEA was conducted by using five steps approach on a bottleneck process. Results from the FMEA provide a list of prioritized corrective actions which the plant manager can implement to improve equipment OEE.
Oral manifestations of HIV infection in children and adults receiving highly active anti retroviral therapy [HAART] in Dar es Salaam, Tanzania
Venue: BMC oral health
Year: 2006

BackgroundThe aim of the study was to compare the prevalence and types of HIV related oral lesions between children and adult Tanzanian patients on HAART with those not on HAART and to relate the occurrence of the lesions with anti HIV drug regimen, clinical stage of HIV disease and CD4+ cell count.MethodsParticipants were 532 HIV infected patients, 51 children and 481 adults, 165 males and 367 females. Children were aged 2 17 years and adults 18 and 67 years. Participants were recruited consecutively at the Muhimbili National Hospital (MNH) HIV clinic from October 2004 to September 2005. Investigations included; interviews, physical examinations, HIV testing and enumeration of CD4+ T cells. total of 237 HIV associated oral lesions were observed in 210 (39.5% patients. Oral candidiasis was the commonest (23.5% followed by mucosal hyperpigmentation (4.7% There was a significant difference in the occurrence of oral candidiasis (kh2 4.31; df 1; p 0.03) and parotid enlargement (kh2 36.5; df 1; p 0.04) between children and adults. Adult patients who were on HAART had a significantly lower risk of; oral lesions (OR 0.32; 95% CI 0.22 0.47; p 0.005) oral candidiasis (OR 0.28; 95% CI 0.18 0.44; p 0.003) and oral hairy leukoplakia (OR 0.18; 95% CI 0.04 0.85; p 0.03) There was no significant reduction in occurrence of oral lesions in children on HAART (OR 0.35; 95% CI 0.11 1.14; p 0.15) There was also a significant association between the presence of oral lesions and CD4+ cell count 200 cell/mm3 (kh2 52.4; df 2; p 0.006) and with WHO clinical stage (kh2 121; df 3; p 0.008) Oral lesions were also associated with tobacco smoking (kh2 8.17; df 2; p 0.04).ConclusionAdult patients receiving HAART had a significantly lower prevalence of oral lesions, particularly oral candidiasis and oral hairy leukoplakia. There was no significant change in occurrence of oral lesions in children receiving HAART. The occurrence of oral lesions, in both HAART and non HAART patients, correlated with WHO clinical staging and CD4+ less than 200 cells/mm3.
An adaptive approach: Smart traffic congestion control system
Venue: J. King Saud Univ. Comput. Inf. Sci.
Year: 2020

The paper explores the utilization of RFID innovation for traffic congestion and find out the blockage at any intersection of the street by utilizing RFID reader and labels as sensors. The idea behind this paper is to make the fixed and preset activity of traffic signal dynamic. The paper affords a unique method for making the signal timing proportional to the congestion on the roads at any time directly. Proposed intelligent system can maintain the dynamic timings of traffic signals by sensing the density of traffic to minimize the congestion with the help of IoT enabled sensors which provides the advanced and powerful communication technologies for the citizens.
Post quantum cryptography: lattice based cryptography and analysis of NTRU public key cryptosystem
Year: 2016

In 1994, Peter Shor has developed a quantum algorithm for integer factorization and the discrete logarithm problem, known as Shor's algorithm. This was a great finding in the quantum field, given that it makes essentially all currently used cryptographic constructions (such as RSA and ECC) easily breakable by a quantum computer. Since quantum computers are believed to phisically exist in the next few years, these encryption schemes will be no longer reliable, making the encrypted data compromised. It is thus of crucial importance to build and analyze new quantum resistant cryptographic schemes. These new cryptographic constructions should be efficient and secure enough to be used in practice and standardized for a large number of years, replacing the current ones if needed. In the last year, NIST (National Institute of Standards and Technology, from U.S. Department of Commerce) has announced its quest of finding such quantum resistant cryptographic constructions. The NTRU encryption scheme, developed by Jeffrey Hoffstein, Jill Pipher and Joseph Silverman (the same Silverman famous for his work on elliptic curves) in the 90's, presented in 1996 and published in 1998, is an example of a quantum resistant proposal. Although it is not supported with a theoretical security proof, the scrutiny done since its presentation until now reveal that NTRU is secure and is a good successor for replacing the current constructions currently in use. It is a fact that there already exist some classical cryptosystems that are quantum resistant. The McEliece cryptosystem (1978) is an example of such a quantum resistant construction, but it is not good to be used in practice. The theory behind the NTRU cryptosystem is very simple, therefore easy to understand, and NTRU can be very easily implemented and put in practice: both private and public keys are easy and quickly computable, having O(N) length, making a clear difference between the length O(N2) of other cryptosystems considered as fast, and encrypting and decrypting with NTRU takes O(N2) operations, which makes it considerably faster than RSA and ECC. To date, NTRU remains secure against both classical and quantum computers. The most effective attacks on NTRU are based on lattices, namely using lattice reduction algorithms, which goal is to find very short vectors in a lattice. One can apply the LLL algorithm (1982) of Arjen Lenstra, Hendrik Lenstra and Laszlo Lovasz, which is recognized as a very important achievement in many areas of mathematics. It runs in polynomial time, but has an exponential approximation factor. This algorithm was improved over time. The most important improvement is due to Schnorr (1987) who introduced the Blockwise Korkine Zolotarev algorithm, also known as BKZ algorithm, which is to date the best lattice reduction algorithm to be put in practice. In 2011, Yuanmi Chen and Phong Q. Nguyen improved the BKZ algorithm, revising lattice security estimates, and created the BKZ simulation algorithm, permitting to predict both
Sejour pedagogique SVT Physique sur l'ile de Groix _ Lycee Benjamin Franklin Auray
Year: 2018

Des eleves sous pression (1/2) Reportage realise par deux eleves sur un sejour pedagogique et scientique. Decouverte et initiation a la plongee sous marine botanique, geologie 150 eleves sur 3 jours avec la participation d'encadrants de plongee en lien avec les clubs du Morbihan (Subagrec, C.
Sustainable Water Resource Management and Participatory System Dynamics. Case Study Developing the Palouse Basin Participatory Model
Year: 2011

The complexity of explaining highly scientific information and juggling a plethora of social values is leading agencies and communities such as those in the Palouse Basin to explore the use of participatory modeling processes using system dynamics. Participatory system dynamics as a methodology creates a transparent nexus of science, policy options, social concerns and local knowledge that enhances discussion of issues surrounding the use of natural resources. The process of developing a systems model uses the tenets of scientific theory, hypothesis testing and clear statements of assumptions. A unique aspect of the Palouse basin project is the use of system dynamics to describe ground water dynamics in a sole source confined aquifer system. There are, as of yet, no standards for analyzing participatory modeling projects, therefore, we use case study analysis to describe the process, insights and qualitative measurements of success.
Risk Aware Proactive Scheduling via Conditional Value at Risk
Venue: AAAI
Year: 2018

In this paper, we consider the challenging problem of riskaware proactive scheduling with the objective of minimizing robust makespan. State of the art approaches based on probabilistic constrained optimization lead to Mixed Integer Linear Programs that must be heuristically approximated. We optimize the robust makespan via a coherent risk measure, Conditional Value at Risk (CVaR) Since traditional CVaR optimization approaches assuming linear spaces does not suit our problem, we propose a general branch and bound framework for combinatorial CVaR minimization. We then design an approximate complete algorithm, and employ resource reasoning to enable constraint propagation for multiple samples. Empirical results show that our algorithm outperforms stateof the art approaches with higher solution quality.
Necessity of Long Term Athlete Development in Hungarian sport
Year: 2016

Hungarian sport has a world leading role in summer sports, although in many countries athletes work similarly in various sports worldwide. If Hungarian sport wants to maintain its role in the future, the sport related processes, especially those related to sport talent management, should be carried out with better preparation and through more careful planning. The majority of athletes should be able to reach their genetic potential during the youth programs to make effective use of the money spent on sport.
The Influence of Pecking Order Theory to the Dividend Policy of Han's Laser
Year: 2018

Through consulting the company annual reports, computation statistics finance data and so on, the analysis research obtains the finance policy and dividend policy of Han's Laser in recent years: (1) Han's Laser increased its internal financing in the recent five years and the financing policy tends to a stability mode; (2) Han's Laser implements a fixed dividend policy, to every 10 shares for fixed cash dividend 2 Yuan. According to the Pecking Order Theory, obtains the influence of Han's Laser financing policy to the dividend policy, analyzes the advantages and disadvantages of it, and proposes to its policy improvement suggestion.
Skills Practice in Dialectical Behavior Therapy for Suicidal Women Meeting Criteria for Borderline Personality Disorder
Year: 2007

Therapy (DBT) is an evidence based practice for borderline personality disorder (BPD) and suicidal behavior that has been replicated with a variety of populations. Patients' practice of behavioral skills taught in the group skills training component of DBT may be partly responsible for the positive treatment outcomes according to the skills deficit model of BPD that underlies DBT. This study was designed to examine the type and frequency of skills practiced by DBT patients. Participants were 49 women, who met criteria for BPD and current and chronic suicidal behavior, receiving 1 year of standard DBT as part of a clinical trial. Skills were recorded on the daily diary cards completed by participants each week and reviewed by their individual therapists. Results indicated that the majority of participants reported practicing skills most days throughout treatment. Crisis survival and mindfulness skills were practiced most frequently in our sample. Hierarchical linear modeling demonstrated that skills practice increased as a function of time in therapy. Directions for future research are discussed.
Identifikasi Pola Pola Konflik Agama dan Sosial (Studi Kasus Kekerasan Berbasis Sektarian dan Komunal di Indonesia
Year: 2017

Tulisan ini bertujuan untuk mengidentifikasi pola pola konflik agama dan sosial di Indonesia. Pola konflik keagamaan bisa meliputi jenis konflik, frekuensi konflik, perkembangan dan persebaran konflik, isu penyebab konflik, pelaku, dan dampak dari konflik. Penelitian ini menggunakan pendekatan sosiologis untuk mengetahui dampak sosial dari munculnya konflik agama. Penelitian ini merupakan studi kasus kekerasan berbasis sektarian dan komunal yang terjadi di beberapa wilayah Indonesia. Teori yang dipakai untuk mengidentifikasi pola pola konflik agama dan sosial adalah teori Louis Coser dan teori konflik etnis dari Jaques Jacques Bertrand. Penelitian ini menunjukkan bahwa masyarakat Indonesia memiliki kapasitas untuk merespon isu isu penyebab konflik keagamaan dalam bentuk aksi aksi damai. Tugas kita adalah mendorong masyarakat untuk menjadikan aksi damai sebagai pilihan utama demi mencegah terjadinya konflik yang lebih besar. Isu isu yang mendorong terjadinya konflik di berbagai daerah sangat bervariasi sehingga langkah langkah penanganan kekerasan perlu didesain sesuai dengan variasi isu isu konflik keagamaan yang mendominasi masing masing wilayah. Hasil studi ini juga menunjukkan bahwa isu konflik keagamaan yang dihadapi masing masing rezim pemerintahan berbeda. Pada rezim orde baru, isu komunal menjadi isu yang paling dominan terjadi. Sementara pada era reformasi lebih banyak menghadapi konflik keagamaan terkait isu sektarian.
Development of silver nanoparticle based hydrogel composites for antimicrobial activity
Year: 2020

Antimicrobial function of Ag nanoparticles (NPs) has a strong correlation with the released Ag+ cations that are produced by oxidation of Ag NPs in a solution state under ambient condition. Therefore, in order to develop anti infective materials for biomedical applications, one needs to include Ag NPs inside biocompatible materials, which can allow slow release of Ag+ cations. Hydrogels of natural polymers could be an ideal choice for the purpose because (a) the physicochemical properties of hydrogels resemble with biological tissue, and (b) the inclusion of Ag NPs inside hydrogels prevents the direct release of Ag NPs, while allowing the release of Ag+ cations out of the hydrogels. In this regard, we present a simple strategy for producing Ag NPs containing hydrogel based on natural alginate polymers. The chemical modification of alginate, blending with Ag NPs, gelation by photo crosslinking process have been discussed in connection with antimicrobial reaction on model bacterium.