bluuebunny/crossref_metadata_2025_split huggingface dataset:
It’s all Greek to me: Explaining, computing, and summarizing traditional and (re)emerging metrics of reliability for seven measures in sexual science
Authors: Gauvin Stéphanie E. M. , Merwin Kathleen E. , Maxwell Jessica A. , Kilimnik Chelsea D. , Sakaluk John Kitchener 
Published: September 2021

Sexual scientists typically default to appraising the reliability of their self-report measures by calculating one or more α coefficients. Despite the prolific use of α, few researchers understand how to situate and make sense of α within the psychometric theories used to develop the measures used in their research (e.g., latent variable theory) and many unknowingly violate the assumptions of α. In this paper, we describe the disconnect between α and latent variable theory and the subsequent restrictive assumptions α makes. Simultaneously, we introduce an alternative metric of reliability—omega (ɷ)—that is compatible with latent variable theory. Subsequently, we provide a tutorial to walk readers through didactic examples on how to calculate ɷ metrics of reliability using the getOmega() function—a simple open-source function we created to automate the estimation of ɷ. We then introduce the Measurement of Sexuality and Intimacy Constructs (MoSaIC) project to provide insight into the state of reliability in sexuality science. We do this through contrasting α and ɷ estimates of reliability across seven sexuality measures, selected based on their emerging and pre-existing relevance and influence in the field of sexuality, in both a queer (LGBTQ+) sample ( n = 545) and a United States’ representative sample ( n = 548). We finish our paper with pragmatic suggestions for editors, reviewers, and authors. By more deeply understanding one’s options of reliability metrics, sexual scientists may carefully consider how they present and assess their measures’ reliability, and ultimately help improve our science’s replicability.
IMPLEMENTASI BLENDED LEARNING DALAM MENINGKATKAN KEMANDIRIAN SISWA PADA MASA PANDEMI COVID 19 DI SMA SEJEHTERA PRIGEN
Authors: Umam Ahmad Za'imul , Syafi'i Imam 
Published: September 2021

Pembelajaran online yang sudah cukup lama dilakukan akibat pandemi covid 19 meninggalkan berbagai kendala dan masalah. Kendala dan masalah tersebut mengakibatkan pembelajaran yang dilakukan tidak maksimal dan kurang efektif. Karena itu, perlu adanya inovasi untuk mengurai permasalahan yang telah lama menimpa pembelajaran online di sekolah. Salah satu inovasi yang dilakukan SMA Sejahtera Prigen adalah menerapkan model blended learning. Peniliti mengkaji penerapan tersebut dengan pendekatan kualitatif deskritif. Dan peniliti menemukan bahwa penerapan blended learning di SMA Sejahtera Prigen cukup memberikan hasil yang memuaskan, karena dengan model tersebut sekolah dapat menemukan solusi dari beberapa kendala saat pembelajaran online, diantaranya adalah Terbangunnya komunikasi yang efektif, mengurai kejenuhan, mengejar ketertinggalan, serta mempermudah pemahaman materi. Dengan begitu dapat disimpulkan bahwa penerapan blended learning di SMA Sejahtera Prigen cukup efektif untuk meminimalisir permalasahan pembelajaran online pada masa pandemi covid 19, sekaligus meningkatkan kemandirian siswa dalam tanggung jawab belajarnya.
Struktura sektora transportu drogowego w Polsce i ocena jego wyników ekonomicznych na tle państw Unii Europejskiej
Authors: Koźlak Aleksandra 
Published: September 2021

Transport drogowy ładunków stanowi znaczącą część systemu transportowego Polski i całej Unii Europejskiej. W artykule przeprowadzono analizę porównawczą struktury sektora transportu drogowego, kosztów świadczenia usług przez przewoźników z różnych krajów oraz ich wyników ekonomicznych. Celem artykułu jest wykazanie, że struktura polskiego sektora transportu drogowego i osiągane wyniki ekonomiczne na tle innych krajów UE są czynnikami utrudniającymi polskim przedsiębiorstwom dostosowanie się do Pakietu mobilności. Badania wykazały, że wprowadzenie proponowanych zmian spowoduje pogorszenie konkurencyjności polskich przewoźników, którzy wprawdzie mają obecnie przewagę kosztową, ale charakteryzują się niską wydajnością pracy, słabszymi niż konkurenci wynikami ekonomicznymi i niekorzystną strukturą sektora drogowego.
Rozwój rynku operatorów publicznego transportu zbiorowego w Polsce
Authors: Krawczyk Grzegorz 
Published: September 2021

Rynek publicznego transportu zbiorowego charakteryzuje się występowaniem monopolu naturalnego. W konsekwencji w Polsce realizacja przewozów odbywa się na podstawie ustanowienia podmiotu wewnętrznego (Rozporządzenie WE 1370/2007). W przypadku organizatorów publicznego transportu zbiorowego kontraktujących znaczny wolumen pracy eksploatacyjnej dochodzi do wdrożenia rozwiązań konkurencyjnych i zastosowania modelu opartego na konkurencji regulowanej. W modelu tym operatorów publicznego transportu zbiorowego wybiera się przez stosowanie procedury zamówień publicznych. Najczęściej przedmiotem postępowania jest obsługa jednej linii komunikacyjnej lub pakietu, o której realizację rywalizują podmioty prywatne oraz komunalne. Celem artykułu jest ocena rozwoju konkurencji regulowanej na silnie skoncentrowanym rynku transportu publicznego przez pryzmat rynku operatorskiego. Podstawowym źródłem danych są te udostępnione przez organizatorów transportu publicznego dotyczące udziału poszczególnych operatorów w obsłudze linii oraz wyniki postępowań przetargowych, które odzwierciedlają aktywność poszczególnych podmiotów w pozyskiwaniu nowych zleceń. Na podstawie przeprowadzonej analizy wskazano główne tendencje rozwoju rynku publicznego transportu zbiorowego w Polsce.
Optymalna strategia inwestycyjna na rynku finansowym Blacka-Scholesa-Mertona typu Lévy’ego
Authors: Sulima Anna 
Published: September 2021

Celem badań jest znalezienie optymalnej strategii inwestycyjnej na zupełnym rynku finansowym Blacka-Scholesa-Mertona typu Lévy’ego bez arbitrażu. W artykule wyznaczono udziały różnych instrumentów finansowych w portfelu optymalnym. Ceny tych instrumentów opisane są za pomocą procesu Levy’ego, który jest uogólnieniem procesu Wienera. Ponadto założono, że współczynniki modelu zależą od stanów łańcucha Markowa. Taki rynek jest niezupełny, co oznacza, że nie każdą wypłatę można zreplikować za pomocą pewnej strategii inwestycyjnej. Aby uzupełnić ten rynek, dodano skokowe instrumenty finansowe oraz aktywa potęgowo skokowe. Następnie wykorzystano metody programowania dynamicznego do wyznaczenia optymalnej strategii inwestycyjnej na tym rynku. Optymalna strategia to taka, która maksymalizuje oczekiwaną użyteczność procesu bogacenia na końcu ustalonego z góry okresu. Analizę przeprowadzono dla logarytmicznej i potęgowej funkcji użyteczności wypłaty.
Wykorzystanie działań marketingowych w kształtowaniu modelu biznesu w przedsiębiorstwie
Authors: Nogalski Bogdan , Czapiewski Roman 
Published: September 2021

Każda organizacja przedsiębiorstwa pracuje po to, aby zadowolić klienta, zwiększając jednocześnie wytwarzaną wartość dodaną przy zachowaniu odpowiednich standardów jakości. Występująca na rynku dynamika powoduje presję na ciągłą rywalizację i poszukiwanie nowych możliwości przez daną firmę. Jednym z głównych celów każdego przedsiębiorstwa jest bieżące definiowanie i wyprzedzanie potrzeb docelowych rynku, poprzez przystosowywanie produktów oraz usług w sposób bardziej atrakcyjny i efektywny niż konkurencja. Największe sukcesy odnoszą i będą odnosić przedsiębiorstwa, które będą potrafiły wykorzystać i zintegrować w praktyce wszystkie narzędzia i elementy konfiguracji marketingu do konkretnych uwarunkowań indywidualnego klienta.W przeciwieństwie do marketingu tradycyjnego, który koncentrował się przede wszystkim na korzyściach materialnych uzyskiwanych w wyniku każdej transakcji, marketing relacji akcentuje znaczenie symbolicznego wymiaru długoterminowych stosunków między sprzedawcą a nabywcą. Podkreśla również, że oczekiwana rentowność jest równoważona przez korporacyjną odpowiedzialność oraz jest rozpatrywana w strategicznej perspektywie, będąc jednocześnie sztuką tworzenia i utrzymywania wzajemnych kontaktów.
Model biznesu jest konstrukcją, która informuje o stanie i perspektywach przedsiębiorstwa oraz jak posiadane możliwości i potencjał działalności można zmieniać, poprzez możliwości rynkowe, w rezultaty ekonomiczne, zwłaszcza w procesie globalizacji.W artykule autorzy skupili się na zagadnieniach występujących na rynku B2B. Jest on kontynuacją tematyki podejmowanej w wydanych przez autorów publikacjach. Zaprezentowany materiał został poparty badaniem pilotażowym wraz z wnioskami.
The impact of the COVID-19 Pandemic on mental health among Marine Engineering students in Region VI, Philippines
Authors: Galicia Peter Ralph B. 
Published: September 2021

The COVID-19 Pandemic has brought the world into a catastrophic situation. The Philippines is one of the nations that has been dramatically affected by this unseen and deadly virus. As early as March 2020, the country declared a nationwide lockdown that psychologically impacted the people. This descriptive-correlational study aimed at ascertaining the impact of the COVID-19 Pandemic on the mental health of Marine Engineering students. DASS-21 was adopted to assess depression, anxiety, and stress among 185 respondents. The computer-processed statistics used were mean and frequency for descriptive analysis; t-test was used for Independent Samples, and One-way ANOVA was used for inferential analysis. The Alpha level was set at 0.5. The study found that, generally, Marine Engineering students had mild signs of depression, moderate signs of anxiety, and normal signs of stress. There was no significant difference in terms of impact of the COVID-19 Pandemic on the Marine Engineering students’ mental health in terms of depression, anxiety, and stress when classified according to year level, place of birth, and location of residence. A psychological intervention program, “bUligAn and Naapektuhan ng Pandemya: A Psychological Intervention Program,” was formulated to address the impact of the COVID-19 Pandemic on the mental health of Marine Engineering students.
Efisiensi produksi sawi pakcoy (Brasica rapa L.) di Desa Sumberejo Kota Batu
Authors: Dangkung Lukas Irwantus , Pudjiastuti Agnes Quartina , Khoirunnisa Ninin 
Published: September 2021

Pakcoy mustard (Brasica rapa L.) has a relatively high economic value in terms of low farming costs, so it has the potential to continue to be developed because the community widely consumes it both in fresh and processed form. The development of the population and industrial users of pakcoy mustard as a raw material causes this commodity's demand to continue to increase. This study aimed to analyze the production efficiency of pakcoy mustard in the village of Sumberejo. This village is one of the pakcoy mustard production centers in Batu City. The data was collected through interviews with 45 pakcoy farmers selected from 350 pakcoy farmers in the research location. The data that has been collected were analyzed with the Cobb-Douglas production function, then the allocative efficiency was calculated. The results showed that the use of seeds, TSP, and NPK fertilizers in pakcoy mustard production in the village of Sumberejo, Batu City was not allocatively efficient.
Socio-Economic Factors Affecting Agricultural Production and Income in Bangladesh
Authors: Das Susmita , Mondal Paritosh 
Published: September 2021

The study assessed some factors that determine agricultural production and income in Bangladesh. The factors that were addressed in the study were land, labour, capital, ethnicity, gender etc. It aimed to analyze the socio-economic characteristics of the farmers in Bangladesh, to investigate the level of agricultural production activities and to identify the agricultural production problems in Bangladesh. The target population was the farmers of eight divisions in Bangladesh. The data were obtained from structured questionnaires, semi-structured interviews and FGD. Multiple linear regression of model fourteen explanatory variables was used to analyze the characteristics of the factors mentioned above in context of farm production and income. The result of data analysis showed that the variables such as gender, age, years of schooling, service area, operational farm size, cow-shed, electricity, radio, mobile phone, television, computer, bicycle, motorcycle etc. affect farmers’ production and income. The research also found gender parity and small farm holding in farming. There should be provision of effective agricultural information dissemination services by using ICT tools in farming. Special emphasis should be given to eliminate gender disparity and resolve small farm holding problem to ensure farm production and income generation.
A Retrospective Observational Study of Adverse Reactions Associated With Intravenous Immunoglobulin Infusion
Authors: Kato Hidefumi , Hayashi Megumi , Ohashi Wataru , Yamaguchi Takamasa , Tanaka Satomi , Kozono Ayumi , Gao Siqiang , Katai Akiko , Niwa Reiko , Matsuo Tomohito , Ishiyama Kazuki , Ando Takanori , Ogawa Mika , Nakayama Takayuki 
Published: September 2021

BackgroundAlthough intravenous immunoglobulin (IVIG) therapy is generally safe and well tolerated, adverse reactions (ARs) do occur. The majority of these ARs are mild and transient. Risk factors for ARs associate with IVIG infusions are not well established. This study investigated possible risk factors influencing the occurrence of IVIG-associated ARs.Study Design and MethodsThis was a retrospective observational analysis of data accumulated over 5 years, including patient demographics, clinical condition, IVIG dosing regimens, number of IVIG infusions, and any ARs.ResultsARs were associated with IVIG in 4.9% of patients and 2.5% of infusions. By univariate analyses, ARs correlated with female sex, adult age, high dose IVIG, and autoimmune disease. Multivariate logistic regression identified three statistically significant of risk factors: on a per-patient basis, being female (p=0.0018), having neuromuscular disease (p=0.0002), and receiving higher doses of IVIG per patient body weight (p&lt;0.001), on a per-infusion basis, being female (p &lt; 0.001), being adolescents to middle age (p &lt; 0.001), and having neuromuscular disease (p &lt; 0.001).ConclusionNeuromuscular disease emerged as one of the significant factors for ARs to IVIG.
Deep Inguinal Lymph Node Metastases Can Predict Pelvic Lymph Node Metastases and Prognosis in Penile Squamous Cell Carcinoma
Authors: Yang Zhenyu , Tan Xingliang , Wang Yanjun , Zou Yuantao , Chen Dong , Wu Zhiming , Liu Zhuowei , Li Yonghong , Qin Zike , Han Hui , Zhou Fangjian , Yao Kai 
Published: September 2021

ObjectivesTo evaluate the relationship between deep inguinal lymph node metastasis (ILNM) and pelvic lymph node metastasis (PLNM) and explore the prognostic value of deep ILNM in penile squamous cell carcinoma (PSCC).Materials and MethodsThe records of 189 patients with ILNM treated for PSCC were analysed retrospectively. Logistic regression models were used to test for predictors of PLNM. Cox regression was performed in univariable and multivariable analyses of cancer-specific survival (CSS). CSS was compared using Kaplan-Meier analyses and log rank tests.ResultsPLNM were observed in 53 cases (28.0%). According to logistic regression models, only deep ILNM (OR 9.72, p&lt;0.001) and number (≥3) of metastatic inguinal lymph nodes (ILNs) (OR 2.36, p=0.03) were independent predictors of PLNM. The incidences of PLNM were 18% and 19% with negative deep ILNM and extranodal extension (ENE); and 76% and 42% with positive deep ILNM and ENE, respectively. The accuracy of deep ILNM, ENE, bilateral involvement and number (≥3) of ILNMs for predicting PLNM were 81.0%, 65.6%, 63.5% and 67.2%, respectively. The CSS was significantly different in patients with positive and negative deep ILNM (median 1.7 years vs not reached, p&lt;0.01). Patients who presented with deep ILNM had worse CSS (median 3.8 years vs not reached, p&lt;0.01) in those with negative PLNs.ConclusionsDeep ILNM is the most accurate factor for predicting PLNM in PSCC according to our data. We recommend that patients with deep ILNM should be referred for pelvic lymph node dissection. Involvement of deep ILNs indicates poor prognosis. We propose that patients with metastases of deep ILNs may be staged as pN3.
Surgical Resection Is Still Better Than Endoscopic Resection for Patients With 2-5 cm Gastric Gastrointestinal Stromal Tumours: A Propensity Score Matching Analysis
Authors: Wu Hao , Li Han , Xu Qinfeng , Shang Liang , Zhang Ronghua , Li Chen , Fu Mengdi , Xu Wandi , Chen Jianfeng , Liu Jin , Li Leping 
Published: September 2021

BackgroundThe management of 2-5 cm gastric gastrointestinal stromal tumours (GISTs) is still debated between surgeons and endoscopists. We aimed to investigate short-term and long-term outcomes between surgical resection (SR) and endoscopic resection (ER).MethodsThis study included 67 and 215 patients between 2010 and 2020 who underwent ER and SR, respectively. After propensity score matching, the clinical outcomes were compared. Individual patient information that requires special instructions is also summarized.ResultsAfter matching, the operation time (P=0.005) and postoperative hospital stay (P=0.005) were significantly longer in the SR group than in the ER group. However, there were no significant differences in blood loss (P=0.741), resection margin (P=1.000) or time to liquid diet (P=0.055). Statistical differences were also seen in en bloc resection (P&lt;0.001) and adverse events (P=0.027). The recurrence rate did not differ significantly between the two techniques, and the mitotic index and ulceration were identified as independent prognostic factors of progression-free survival.ConclusionsER might be comparable to SR for the treatment of 2-3 cm gastric GISTs. SR is still considered the standard treatment for 3-5 cm gastric GISTs, while the intraoperative and postoperative information of ER should be recorded in detail and closely evaluated. Surgical resection is recommended if the tumour has a high mitotic index or mucosal ulceration.
Treatment Outcome of Different Chemotherapy in Patients With Relapsed or Metastatic Malignant Urachal Tumor
Authors: Chen Meiting , Xue Cong , Huang Ri-qing , Ni Meng-qian , Li Lu , Li Hai-feng , Yang Wei , Hu An-qi , Zheng Zhou-san , An Xin , Shi Yanxia 
Published: September 2021

BackgroundMalignant urachal tumor is a rare subtype of genitourinary cancer. Our aim was to explore the optimal chemotherapy regimens for relapsed or metastatic urachal carcinoma.Materials and MethodsWe retrospectively enrolled 24 adult patients with relapsed or metastatic urachal carcinoma from January 2014 to September 2020 at Sun Yat-sen University Cancer Center. We summarized the chemotherapy regimens and classified them as fluorouracil based, platinum based, and paclitaxel based. Nine patients received XELOX (capecitabine and oxaliplatin) regimens, seven patients received TX (paclitaxel and capecitabine) regimens, and eight of them received chemotherapy including GP (gemcitabine and cisplatin), TP (paclitaxel and cisplatin), TN (paclitaxel and nedaplatin), and tislelizumab.ResultsThe disease control rate was 75%. Among all patients, one patient treated with XELOX achieved partial remission (PR), while 17 patients showed stable disease. The median progression-free survival (PFS) and overall survival (OS) in all treated patients was 7.43 and 29.7 months, respectively. The patients receiving first-line platinum-based chemotherapy presented better PFS than those without platinum (median PFS 8.23 vs. 3.80 months, p = 0.032), but not significant for OS between two groups. There is no significant difference in PFS and OS for fluorouracil-based and paclitaxel-based groups as first-line regimen. Next-generation gene sequencing revealed TP53 mutation and low tumor mutational burden in five out of seven cases.ConclusionThe platinum-based chemotherapy regimen is effective for relapsed or metastatic urachal carcinoma.
Deep Learning Model to Predict Serious Infection Among Children With Central Venous Lines
Authors: Tabaie Azade , Orenstein Evan W. , Nemati Shamim , Basu Rajit K. , Clifford Gari D. , Kamaleswaran Rishikesan 
Published: September 2021

Objective: Predict the onset of presumed serious infection, defined as a positive blood culture drawn and new antibiotic course of at least 4 days (PSI*), among pediatric patients with Central Venous Lines (CVLs).Design: Retrospective cohort study.Setting: Single academic children's hospital.Patients: All hospital encounters from January 2013 to December 2018, excluding the ones without a CVL or with a length-of-stay shorter than 24 h.Measurements and Main Results: Clinical features including demographics, laboratory results, vital signs, characteristics of the CVLs and medications used were extracted retrospectively from electronic medical records. Data were aggregated across all hospitals within a single pediatric health system and used to train a deep learning model to predict the occurrence of PSI* during the next 48 h of hospitalization. The proposed model prediction was compared to prediction of PSI* by a marker of illness severity (PELOD-2). The baseline prevalence of line infections was 0.34% over all segmented 48-h time windows. Events were identified among cases using onset time. All data from admission till the onset was used for cases and among controls we used all data from admission till discharge. The benchmarks were aggregated over all 48 h time windows [N=748,380 associated with 27,137 patient encounters]. The model achieved an area under the receiver operating characteristic curve of 0.993 (95% CI = [0.990, 0.996]), the enriched positive predictive value (PPV) was 23 times greater than the base prevalence. Conversely, prediction by PELOD-2 achieved a lower PPV of 1.5% [0.9%, 2.1%] which was 5 times the baseline prevalence.Conclusion: A deep learning model that employs common clinical features in the electronic health record can help predict the onset of CLABSI in hospitalized children with central venous line 48 hours prior to the time of specimen collection.
The Effectiveness of Online Coaching through Social Networking Site
Authors: Mahdaria Siti , Restuaji Titus Angga 
Published: September 2021

In the more globalized world, social networking sites are used to connect people and popular as a learning platform. More people use webinars to talk about specific topics through a social network. The number of online courses raise and change the way people learn. People used to study in a classroom with a tutor in front of them, but now people only need to sit in front of a screen to learn new things. However, the effectiveness of this process is still questioned. Therefore, this study aims to analyse the effectiveness of online coaching through a social networking site and the critical challenge in online coaching and approach to tackle it. This study is qualitative research. The data is collected from online interviews with a semi-structured interview guide. The sample of the study is 12 mentees and 5 mentors who had been involved in 12 weeks of online scholarship coaching held by Coach Potato Indonesia. The data is analyzed using a thematic content method, and the effectiveness of online coaching is measured by using the Kirkpatrick Model. The result of the study is that online mentoring through social networking sites is effective and efficient, especially in particular related to geographical and financial issues. The authors found the critical challenges in online mentoring are internet connection and timing. Therefore, online mentoring should use multiple platforms to adjust with the technical issue that might occur.