bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kemasan Pangan Sehat Berbasis Bioplastik dengan Ekstrak Bunga Tembelekan
Authors: Yuniar Andi Irma , Nissatuljannah Syarifah Fatimah , Yasid Nurul Wahidah , Rijal Syamsu 
Published: February 2022

ABSTRAK
Bahaya pencemaran lingkungan yang ditimbulkan oleh plastik khususnya yang terbuat dari bahan petrokimia pada seluruh tahapan produksi dan pasca penggunaannya telah mendorong berbagai upaya subtitusi dengan material lain yang lebih ramah lingkungan. Bioplastik yang berbahan pati (starch) yang dimodifikasi dengan penambahan bahan tertentu dapat menjadi alternatif bahan kemasan yang fungsional misalnya memiliki sifat antimikroba, indikator pH, dan mudah terurai. Berbagai penelitian menunjukkan bahwa ekstrak bunga tembelekan (Lantana camara L) menunjukkan aktivitas antimikroba dan indikator yang baik terhadap perubahan pH. Penelitian ini bertujuan mendapatkan kadar penambahan ekstrak yang efektif dan karakteristik bioplastik yang dihasilkan dari penambahan ekstrak tersebut .Penelitian dilakukan dengan metode eksperimen dengan variabel bebas yaitu variasi kadar ekstrak etanolik bunga tembelekan yang ditambahkan pada bioplastik sebesar 5%,10%,15% 20% dan 25%. Selanjutnya dilakukan pengukuran kerapatan jenis, daya serap air, laju biodegradasi, uji konsentrasi hambatan minimum terhadap S. aureus dan E. coli, pengamatan morfologi dengan Scanning Electron Microscope, dan pengukuran perubahan warna sebagai pengaruh suhu dan cahaya.
Berdasarkan data penelitian diketahui bahwa penambahan kadar ekstrak dalam bioplastik berbanding terbalik dengan kerapatan jenis dimana untuk kadar ekstrak 25% diperoleh kerapatan jenis sebesar 1,021 gr/cm3 dibandingkan dengan bioplastik tanpa penambahan ekstrak yaitu sebesar 1,254 gr/cm3. Hasil penelitian juga menunjukkan rata-rata daya serap air tertinggi diperoleh pada bioplastik tanpa kandungan ekstrak sebesar 79,61% dan yang terendah adalah bioplastik dengan kadar ekstrak 25% sebesar 47,22 %. Secara keseluruhan, bioplastik dengan kandungan ekstrak bunga tembelekan memiliki potensi untuk digunakan sebagai kemasan pangan sehat yang fungsional.
PSYCHOLOGICAL FEATURES OF THE FUTURE SPECIALIST’S PROFESSIONAL FORMATION
Authors: Барчі Б. 
Published: February 2022

У статті подано результати теоретичного аналізу проблеми професійного становлення особистості під час навчання у закладі вищої освіти. Визначено роль професійної свідомості у процесі професійного становлення майбутнього фахівця. Сконцентрована увага на описі стадій професійного становлення особистості. Стверджується, що професіоналізація є успішним показником процесу становлення і розвитку фахівця.
Головною метою статті є теоретичний аналіз психологічних особливостей професійного становлення майбутнього фахівця в період навчально-професійної діяльності.
Аналіз наукових джерел. Професійне становлення у психологічній літературі розглядається у контексті загальної проблеми життєвого становлення особистості. Вченими було досліджено розвиток особистості у процесі професійної діяльності (А. Деркач, Е. Зеєр, Є. Климов, Т. Кудрявцев, та ін); професійне самовизначення та деструкції (А. Маркова, С. Дружилова, Е. Симанюк); кризи професійного становлення (Л. Анцифєрова, Н. Глуханюк, А. Фонарьов); умови та ефективність професійної діяльності (А. Донцова, І. Колеснікова, Л.Карамушка); адаптація людини до професійної діяльності (В. Кікоть, В. Петровський, А. Фурман, Е. Еріксон та ін.); самодіяльність професійного становлення ( С. Л. Рубінштейн).
Виклад основного матеріалу. Проблема становлення фахівця, це проблема особистісного і соціального розвитку фахівця як суб’єкта соціальної дії, здатного орієнтуватися і вирішувати професійні завдання у мінливих соціальних умовах. Професіоналізація являє собою процес, в результаті якого у працівника формується об’єктивна (наявність знань, умінь, навичок та професійно-важливих якостей) і суб’єктивна (усталена адекватна мотивація) готовність до професійної діяльності. Професіоналізація особистості протікає в опосередкованих і безпосередніх формах. Одними із важливих компонентів операціональної сфери професіоналізму є професійна свідомість і самосвідомість.
Висновки. З’ясовано, що проблема становлення професіонала це, у першу чергу, проблема особистісного і соціального розвитку фахівця як суб’єкта соціальної дії. Усі необхідні професійні знання, уміння і навички, норми поведінки і ціннісні орієнтири, ідеали і внутрішні структури особистості формуються в процесі професіоналізації особистості. Професіоналізація – це цілісний безперервний процес становлення особистості фахівця, який починається з моменту вибору професії, триває протягом усього професійного життя людини і завершується при припиненні такої діяльності, це процес становлення і розвитку професіоналізму.
ТЕОРЕТИЧНИЙ АСПЕКТ СИСТЕМАТИЗАЦІЇ ТРИВОЖНО-ФОБІЧНИХ РОЗЛАДІВ
Authors: Чередниченко Т. 
Published: February 2022

В статті проаналізовано зміст феноменів тривоги, страху, зокрема, особливості спільного емоційного компоненту тривожно-фобічних розладів. Зазначено, що термін «невроз» у сучасних класифікаціях не застосовується та визнано застарілим. Виокремлено тривожно-фобічні розлади як категорію, що відображає тривогу, при якій нормальна реакція перебільшується при відсутності реальної загрози. Проаналізовано підходи до класифікації тривожно-фобічних розладів. Зосереджено увагу на аналізі сучасних міжнародних класифікаційних систем МКХ-10 та DSM-IV та виокремлені відмінності між ними.
НЕЙТРАЛІЗАЦІЯ НЕГАТИВНОГО ВПЛИВУ БОЙОВОГО ТА ОПЕРАТИВНОГО СТРЕСУ НА ОСОБОВИЙ СКЛАД ВІЙСЬКОВИХ ЧАСТИН (ПІДРОЗДІЛІВ) ЗБРОЙНИХ СИЛ УКРАЇНИ
Authors: Василенко С. 
Published: February 2022

У статті висвітлені сучасні погляди щодо змісту та організації психологічного забезпечення особового складу військових частин (підрозділів) Збройних Сил України. За результатами дослідження уточнено та конкретизовано зміст та порядок проведення заходів з контролю бойового (оперативного) стресу в процесі психологічного забезпечення військ (сил) Збройних Сил України в загальній системі морально-психологічного забезпечення. Напрямок подальших досліджень полягає в удосконаленні існуючих методів діагностики проявів бойового (оперативного) стресу та підвищенні якості надання психологічної допомоги учасникам бойових дій за рахунок удосконалення існуючої системи психологічної реабілітації особового складу Збройних Сил України.
Traditions and Rituals of the Naqshbandiyah Order in Pondok Persulukan Darul Aman Purbaganal, Sosopan
Authors: Armyn Hasibuan  , Muzakkir  , Abrar M. Dawud Faza  
Published: February 2022

This aims of this study is to find out Traditions and Rituals of the Naqshbandiyah Order of Pondok Persulukan Darul Aman Purbaganal, Sosopan. This study use qualitative research design. The result of this study shows that the tradition starts from surrendering oneself to the sheikh or murshid then bathing and dikapi, accepting the tarekat, taking allegiance and others full of traditions and rituals. By staying at Pondok Persulukan, you will be able to follow the traditions, including Suluk customs to completion, genealogy and diplomas. At the Darul Aman Islamic Boarding School, the Ancient Naqsyabandiyah Order, Ganal Sosopan, North Padang Lawas, it was also a tradition to perform ablution, maintain self-purity, perform fardu prayers in congregation during seclusion or not, dhikr, tawajuh, halaqah talaqi, and rabithah.which of course have their own rituals. The results of the tradition at Pondok Persulukan are the adab tradition of respecting the murshid and the tradition of genealogy and diplomas.In relevating the traditions and rituals inherent in the substance of Suluk with Islamic teachings in contemporary life, there are changes found in Pondok Persulukan Darul Aman Naqsyabandiyah North Padang Lawas, especially in traditional and ritual processes. The goal is to accelerate the achievement of increasing understanding and in building personal character and noble character for all tarekat practice students, the existence of linkages in Suluk activities to fulfill religious spiritual needs in society and the existence of the Suluk tradition in the development of non-formal Islamic education.
Empirical assessment of a genomic breeding strategy in perennial ryegrass
Authors: Faville Marty , Schmidt Jana , Trolove Michael , Moran Peter , Hong Won , Cao Mingshu , Ganesh Siva , George Richard , Barrett Brent 
Published: February 2022

In genomic selection (GS) DNA markers and trait data are integrated in a model that then predicts genomic-estimated breeding values (GEBV’s) for individuals using DNA marker information alone, improving breeding efficiency. We assessed a genomic breeding strategy (APWFGS) for improving dry matter yield (DMY) in perennial ryegrass. In APWFGS the best-performing half-sibling families (HS) are identified using phenotypic data and GS is used to select the best individuals within those HS. Four selections were made from three breeding populations: Base (random sample of plants from all HS), HSP (random sample from the six phenotypically-best HS), APWFGS and APWFGS-L (top or bottom 5% of plants, respectively, selected by GEBV from the six HS). Selected plants were polycrossed, creating 12 experimental synthetics that were evaluated as sown rows for DMY (n=7 harvests) in field trials at two locations over 18 months. In each population, mean DMY across locations and harvests showed a trend of APWFGS> HSP>Base. Averaged across all populations, APWFGS increased DMY by 43% (P<0.05) compared to Base, more than twice the level of improvement achieved with conventional HSP. Our results show the APWFGS breeding approach can substantially improve selection response for a genetically complex trait from a single breeding cycle.
Refining foliage sampling protocols for white clover
Authors: Olykan Sonya , Lucas Richard , Moot Derrick , Black Alistair 
Published: February 2022

White clover (Trifolium repens) foliar ‘grab’ samples were taken pre-grazing from two irrigated experiments at Lincoln University at ~6 week intervals from August 2019 to May 2021. Clover leaves were divided into lamina and petiole before analysis. The results for nitrogen (N), phosphorous (P), potassium (K) and sulphur (S) foliar concentrations are reported.
While there were seasonal variations, N% and S% were consistently higher in the white clover lamina than the petiole, K% was mostly higher in the petiole, and P% was higher in the lamina during the winter/early spring period. With increasing clover sward height, the lamina to petiole DW ratio declined from 4, at a sward height of 5 cm, to 1 at 20 cm. The lamina+petiole sample had lower concentrations of N and S than lamina alone. Over time, foliar N% was relatively stable but concentrations of P, K and S showed ~ two-fold variation and may have been affected by low soil moisture.
The diagnosis of clover nutrient status should be based on lamina-only samples taken during spring, when plant growth is fastest, and just prior to grazing when there is sufficient herbage. Clover foliage sampling should routinely be used to inform fertiliser recommendations rather than relying on the development of visual symptoms of nutrient deficiency.
Ethnobotanical Profiling of Teshil Dhirkot District Bagh Azad Jammu and Kashmir
Authors: Arif Shameen , Mahmood Basharat , Hussain Sajjad , Khan Rizwan Taj , Hussain Abid , Kousar Humaira , Tariq-Khan Muhammad , Shamim Asim , Khan Muhammad Riaz , Khan Zahid Hussain , Khans Khan Irfan , Tariq Sahira 
Published: February 2022

This Ethnobotanical study was aimed to document the indigenous knowledge of medicinal plants of Dhirkot district Bagh AJK along with their therapeutic values and ethnopharmacological importance. The ethnobotanical data was collected by using the open-ended questionnaire from the local people about the use of medicinal plants. The current study reported three plant species, viz: Sarcoccoca saligna (Ganeera), Rumex hastatus (Chukhri), Cichurium intybus (Kasni) are mainly used for different ailments. The Plant species selected on the basis of used value were subjected to antibacterial activity by using the disc diffusion method. Different statistical techniques were employed to analyze the data of informant consensus factor (ICF), fidelity level (FL), use value (UV) and relative frequency citation (RFC). Current study reported 93 plant species belonging to 46 families and 81 genera for the treatment different ailments like stomach, liver, diabetes, skin, kidney, blood disorders. The most frequent plant part used was leaf (40%), followed by fruit (23%), whole plant (14%), stem and seeds (8% each), tuber (4%) and flower (1%). Modes of administration were grouped into 7 categories including raw use (30 use citation) followed by decoction (28), powder (14), paste and extract (7) and seeds (1 use citation). Fresh plant material was most preferable method and oral administration was the highly prevalent. The highest RFC value was calculated for the gastro-paresis (0.71) by Zanthoxylum alatum and the highest UV value was calculated by Malia azedarach (0.54) for fever, blood purification. Similarly Juglans regia, Sarcoccoca saligna and Datura stramonium were show highest fidelity level (FL=100%). Local communities were highly dependent on the medicinal plants and reported the best therapeutic values for specific disorders. Urgent attention must be needed to conserve the local flora, detailed documentation of indigenous knowledge and phytochemical/pharmacological authentication of different plants used for different diseases.
Architecting Hierarchical WO3 Agglomerates Assembled With Straight and Parallel Aligned Nanoribbons Enabling High Capacity and Robust Stability of Lithium Storage
Authors: Dong Xiaotong , Liu Yongshuai , Zhu Shikai , Ou Yike , Zhang Xiaoyu , Lan Wenhao , Guo Haotian , Zhang Cunliang , Liu Zhaoguo , Ju Shuai , Miao Yuan , Zhang Yongcheng , Li Hongsen 
Published: February 2022

The pursuit of electrochemical energy storage has led to a pressing need on materials with high capacities and energy densities; however, further progress is plagued by the restrictive capacity (372 mAh g−1) of conventional graphite materials. Tungsten trioxide (WO3)-based anodes feature high theoretical capacity (693 mAh g−1), suitable potential, and affordable cost, arousing ever-increasing attention and intense efforts. Nonetheless, developing high-performance WO3 electrodes that accommodate lithium ions remains a daunting challenge on account of sluggish kinetics characteristics and large volume strain. Herein, the well-designed hierarchical WO3 agglomerates assembled with straight and parallel aligned nanoribbons are fabricated and evaluated as an anode of lithium-ion batteries (LIBs), which exhibits an ultra-high capacity and excellent rate capability. At a current density of 1,000 mA g−1, a reversible capacity as high as 522.7 mAh g−1 can be maintained after 800 cycles, corresponding to a high capacity retention of ∼80%, demonstrating an exceptional long-durability cyclic performance. Furthermore, the mechanistic studies on the lithium storage processes of WO3 are probed, providing a foundation for further optimizations and rational designs. These results indicate that the well-designed hierarchical WO3 agglomerates display great potential for applications in the field of high-performance LIBs.
Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department
Authors: Cohen Joshua , Wright-Berryman Jennifer , Rohlfs Lesley , Trocinski Douglas , Daniel LaMonica , Klatt Thomas W. 
Published: February 2022

BackgroundEmergency departments (ED) are an important intercept point for identifying suicide risk and connecting patients to care, however, more innovative, person-centered screening tools are needed. Natural language processing (NLP) -based machine learning (ML) techniques have shown promise to assess suicide risk, although whether NLP models perform well in differing geographic regions, at different time periods, or after large-scale events such as the COVID-19 pandemic is unknown.ObjectiveTo evaluate the performance of an NLP/ML suicide risk prediction model on newly collected language from the Southeastern United States using models previously tested on language collected in the Midwestern US.Method37 Suicidal and 33 non-suicidal patients from two EDs were interviewed to test a previously developed suicide risk prediction NLP/ML model. Model performance was evaluated with the area under the receiver operating characteristic curve (AUC) and Brier scores.ResultsNLP/ML models performed with an AUC of 0.81 (95% CI: 0.71–0.91) and Brier score of 0.23.ConclusionThe language-based suicide risk model performed with good discrimination when identifying the language of suicidal patients from a different part of the US and at a later time period than when the model was originally developed and trained.
Voltage Source Converter–Based Voltage Stiffness Compensator to Improve Grid Voltage Dynamics
Authors: Shang Lei , Han Chunyi , Dong Xuzhu , Tian Ye , Liu Jianing 
Published: February 2022

This study proposes a novel voltage source converter (VSC)-based voltage dynamic regulatory device based on energy storage and virtual synchronous control, called as a rotating inertia and voltage stiffness compensator (RIVSC), to enhance grid voltage dynamics. In the proposed RIVSC, there is no inner cascaded current control, and the output voltage of the VSC, i.e., inner potential, is directly connected to the grid via a filter. Stiffness characteristic is featured in the inner potential of the RIVSC by the virtual synchronous control. On the basis of the stiffness characteristic, the RIVSC can naturally provide dynamic support for grid voltage. Compared to the traditional synchronous condenser, the proposed RIVSC is more flexible and contributes less short-circuit current. Compared to the existing power electronic-interfaced voltage regulatory device, dynamic support is natural without any time delay, and the proposed RIVSC can improve the dynamic performance of the grid voltage, which is helpful to alleviate the temporary overvoltage at the sending terminal. The basic principle, control methods, and application analysis are presented. Meanwhile, a 10 kW prototype is set up, and the experiment results validate the feasibility and effectiveness of the proposed RIVSC on improving grid voltage dynamics.
Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction
Authors: Hao Degan , Li Qiong , Feng Qiu-Xia , Qi Liang , Liu Xi-Sheng , Arefan Dooman , Zhang Yu-Dong , Wu Shandong 
Published: February 2022

BackgroundGastric cancer is one of the leading causes of cancer death in the world. Improving gastric cancer survival prediction can enhance patient prognostication and treatment planning.MethodsIn this study, we performed gastric cancer survival prediction using machine learning and multi-modal data of 1061 patients, including 743 for model learning and 318 independent patients for evaluation. A Cox proportional-hazard model was trained to integrate clinical variables and CT imaging features (extracted by radiomics and deep learning) for overall and progression-free survival prediction. We further analyzed the prediction effects of clinical, radiomics, and deep learning features. Concordance index (c-index) was used as the model performance metric, and the predictive effects of multi-modal features were measured by hazard ratios (HRs) at pre- and post-operative settings.ResultsAmong 318 patients in the independent testing group, the hazard predicted by Cox from multi-modal features is associated with their survival. The highest c-index was 0.783 (95% CI, 0.782-0.783) and 0.770 (95% CI, 0.769-0.771) for overall and progression-free survival prediction, respectively. The post-operative variables are significantly (p&lt;0.001) more predictive than the pre-operative variables. Pathological tumor stage (HR=1.336 [overall survival]/1.768 [progression-free survival], p&lt;0.005), pathological lymph node stage (HR=1.665/1.433, p&lt;0.005), carcinoembryonic antigen (CEA) (HR=1.632/1.522, p=0.02), chemotherapy treatment (HR=0.254/0.287, p&lt;0.005), radiomics signature [HR=1.540/1.310, p&lt;0.005], and deep learning signature [HR=1.950/1.420, p&lt;0.005]) are significant survival predictors.ConclusionOur study showed that CT radiomics and deep learning imaging features are significant pre-operative predictors, providing additional prognostic information to the pathological staging markers. Lower CEA levels and chemotherapy treatments also increase survival chances. These findings can enhance gastric cancer patient prognostication and inform treatment planning.
Assessment of Molecular Residual Disease Using Circulating Tumor DNA to Identify Multiple Myeloma Patients at High Risk of Relapse
Authors: Dhakal Binod , Sharma Shruti , Balcioglu Mustafa , Shchegrova Svetlana , Malhotra Meenakshi , Zimmermann Bernhard , Billings Paul R. , Harrington Alexandra , Sethi Himanshu , Aleshin Alexey , Hari Parameswaran N. 
Published: February 2022

BackgroundDespite treatment with high-dose chemotherapy followed by autologous stem cell transplantation (AHCT), patients with multiple myeloma (MM) invariably relapse. Molecular residual disease (MRD)-negativity post-AHCT has emerged as an important prognostic marker predicting the duration of remission. Current techniques for MRD assessment involve bone marrow (BM) aspirate sampling, which is invasive, subject to sample variability and is limited by spatial heterogeneity. We compared the performance of a non-invasive, circulating tumor DNA (ctDNA)-based MRD assay with multiparameter flow cytometry (MFC) of marrow aspirate to predict relapse in AHCT recipients with MM.MethodsMRD assessment using ctDNA was retrospectively analyzed on 80 plasma samples collected at different time points from 28 patients, post-AHCT. MFC was used to assess MRD from BM biopsy. Individual archived BM aspirate slides or formalin-fixed paraffin-embedded slides from the time of MM diagnosis and matched blood were used to assess MRD at 3 months, post-AHCT, using a personalized, tumor-informed ctDNA assay.ResultsctDNA was detectable in 70.8% (17/24) of pre-AHCT patients and 53.6% (15/28) of post-AHCT patients (3-month time point). Of the 15 post-AHCT ctDNA-positive patients, 14 relapsed on follow-up. The median PFS for ctDNA-positive patients was 31 months, and that for ctDNA-negative patients was 84 months (HR: 5.6; 95%CI: 1.8-17;p=0.0003). No significant difference in PFS was observed in patients stratified by MFC-based MRD status (HR 1.2; 95%CI: 0.3-3.4;p=0.73). The positive predictive value for ctDNA was also significantly higher than MFC (93.3% vs. 68.4%).ConclusionsThis study demonstrates tumor-informed ctDNA analysis is strongly predictive of MM relapse.