bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat shock protein 70 and Cathepsin B genes are involved in the thermal tolerance of Aphis gossypii
Authors: Liu Jinping , Liu Yang , Li Qian , Lu Yanhui 
Published: January 2023

AbstractBACKGROUNDElevated temperature can directly affect the insect pest population dynamics. Many experimental studies have indicated that high temperatures affect the biological and ecological characteristics of the widely distributed crop pest Aphis gossypii, but the molecular mechanisms underlying its response to heat stress remain unstudied. Here, we used transcriptomic analysis to explore the key genes and metabolic pathways involved in the regulation of thermotolerance in A. gossypii at 29 °C, 32 °C, and 35 °C.RESULTSThe results of bioinformatics analysis show that few genes were consistently differentially expressed among the higher temperature treatments compared to 29 °C, and a moderate temperature increase of 3 °C can elicit gene expression changes that help A. gossypii adapt to warmer temperatures. Based on KEGG pathway enrichment analysis, we found that genes encoding four heat shock protein 70 s (Hsp70s) and nine cathepsin B (CathB) proteins were significantly upregulated at 35 °C compared with 32 °C. Genes related to glutathione production were also highly enriched between 32 °C and 29 °C. Silencing of two Hsp70s (ApHsp70A1–1 and ApHsp68) and two CathBs (ApCathB01 and ApCathB02) with RNA interference using a nanocarrier‐based transdermal dsRNA delivery system significantly increased sensitivity of A. gossypii to high temperatures.CONCLUSIONA. gossypii is able to fine‐tune its response across a range of temperatures, and Hsp70 and CathB genes are essential for adaption of A. gossypii to warmer temperatures. © 2023 Society of Chemical Industry.
Using Dynamic Assessment to Measure Morpheme Identification and Predict Character Reading Among Chinese Children
Authors: Su Yongqiang , Chen Xi , Huo Michelle Ru Yun , Gan Yan , Zhang Jiawen , Li Hong 
Published: January 2023

AbstractIn the present study, we designed a dynamic measure to assess emerging morphological awareness in Chinese children and examined its concurrent and longitudinal relations with character recognition. The initial question of the dynamic assessment of morphological awareness (DAMA) task asked children to judge whether the first morphemes in a pair of words shared the same meaning. Subsequently, up to four prompts were provided for each word in the word pair to draw children's attention to the meaning of the target morpheme as well as the morphological structure of the word. The participants included 154 first‐grade Chinese children. In addition to the DAMA task, they received a battery of measures including nonverbal intelligence, rapid automatized naming, phonological awareness, vocabulary knowledge, and Chinese character reading. While all measures were administered at the beginning of grade 1, the character reading measure was administered again at the end of grade 1, and at the beginning and end of grade 2. The results showed that the prompts provided in the DAMA task increased children's ability to identify morpheme meanings in compound words by helping them separate morpheme meanings from word meanings. Furthermore, the DAMA task accounted for significant unique variance in character recognition concurrently at the beginning of grade 1 and longitudinally at all three other time points after controlling for static morphological awareness and other reading related variables. Our study suggests that dynamic assessment can be used to effectively assess morphological awareness and predict character reading abilities in young Chinese children.
Shear vibration modes of granular structures: Continuous and discrete approaches
Authors: Massoumi Sina , Challamel Noël , Lerbet Jean , Wautier Antoine , Nicot François , Darve Félix 
Published: January 2023

AbstractThis work is dedicated to the study of shear vibration modes of one‐dimensional granular microstructured beams using a discrete Cosserat model. The dynamic response of the one‐dimensional granular beam (discrete beam) is investigated for various boundary conditions, through the analytical resolution of an exact discrete eigenvalue problem. For an infinite number of grains, the dynamic behavior of the discrete problem converges towards a Bresse–Timoshenko continuum beam model. First, the effective modeling parameters, the constitutive equations and the governing equations of motion are derived in a difference form. For simply supported granular beams, the appearance of pure shear modes of vibration is highlighted (vibration modes without deflection), a phenomenon which is already known in the free vibration of a continuous Bresse–Timoshenko beam problem. The eigenfrequencies of these pure shear modes for the discrete granular beam coincide with the critical frequencies of the discrete system. These pure shear modes may appear for granular beams composed of few grains, which give a physical support of a phenomenon well studied in the literature from a continuum beam model. The eigenfrequencies of the discrete granular beam are also calculated for various boundary conditions, including clamped, hinge and free end boundary conditions. Based on the discrete element method (DEM), several numerical simulations of dynamic tests in some representative examples have been performed. The responses of the numerical approach are accurately compared against the exact results of the analytical solutions based on the difference eigenvalue problem, which illustrates the relevance of the proposed approach.
Whipple-Trias mit erhöhten und erniedrigten Insulinspiegeln
Authors: Karrasch Thomas , Eul Bastian , Gattenlöhner Stefan , Steiner Dagmar , Roller Fritz , Padberg Winfried , Schäffler Andreas 
Published: January 2023

ZusammenfassungEine 69-jährige Patientin und ein 70-jähriger Patient wurden mit rezidivierenden, schweren Hypoglykämien und klinischer Whipple-Trias aufgenommen. Bei der Patientin ließen erhöhte Spiegel an Insulin und C‑Peptid, ein pathologischer insulinogener Index und ein Fastentest an ein Insulinom denken, welches im 68Ga-DOTATOC-PET-CT im Pankreasschwanz detektiert wurde. Es bestand eine Koinzidenz mit einem neuroendokrinen Merkel-Zell-Karzinom. Bei dem Patienten zeigten sich hingegen supprimierte Spiegel an Insulin und C‑Peptid und es konnte eine tumorassoziierte, paraneoplastische Hypoglykämie infolge IGF-2-Sekretion gesichert werden, mit Nachweis eines erhöhten Glukoseverbrauchs in der Skelettmuskulatur (18F‑FDG-PET-CT).
Creating meaningful work in the age of AI: explainable AI, explainability, and why it matters to organizational designers
Authors: Wulff Kristin , Finnestrand Hanne 
Published: January 2023

AbstractIn this paper, we contribute to research on enterprise artificial intelligence (AI), specifically to organizations improving the customer experiences and their internal processes through using the type of AI called machine learning (ML). Many organizations are struggling to get enough value from their AI efforts, and part of this is related to the area of explainability. The need for explainability is especially high in what is called black-box ML models, where decisions are made without anyone understanding how an AI reached a particular decision. This opaqueness creates a user need for explanations. Therefore, researchers and designers create different versions of so-called eXplainable AI (XAI). However, the demands for XAI can reduce the accuracy of the predictions the AI makes, which can reduce the perceived usefulness of the AI solution, which, in turn, reduces the interest in designing the organizational task structure to benefit from the AI solution. Therefore, it is important to ensure that the need for XAI is as low as possible. In this paper, we demonstrate how to achieve this by optimizing the task structure according to sociotechnical systems design principles. Our theoretical contribution is to the underexplored field of the intersection of AI design and organizational design. We find that explainability goals can be divided into two groups, pattern goals and experience goals, and that this division is helpful when defining the design process and the task structure that the AI solution will be used in. Our practical contribution is for AI designers who include organizational designers in their teams, and for organizational designers who answer that challenge.
A single center comparative study of two single use digital flexible ureteroscopy in the management of renal stones less than 2 cm
Authors: Zanaty Fouad , Elshazly Mohamed , Kandeel Hossam , Salman Baher 
Published: January 2023

Abstract
Purpose
For renal stones < 2 cm, guidelines recommend the use of retrograde intrarenal surgery as a first line treatment option. Many available single use flexible ureteroscopy were found. We aim to compare the effectiveness of two single use flexible ureteroscopy; Pusen Uscope 3011 versus LithoVue in the management of renal stones less than 2 cm.

Methods
Our study prospectively included 60 patients equally divided in to two groups: Pusen group and LithoVue group during the period from June 2020 to June 2021. The included patients were above 18 years old. Perioperative details as operative time, fluoroscopy time, hospital stay, and complications were recorded. Stone free rate was assessed. Base purchase cost was also compared.

Results
There was no statistically significant difference between the two groups regarding age, gender, and body mass index (BMI), stones size, side, number and location. The perioperative evaluation and outcome had no statistically significant differences between the two groups regarding the operative time, hospital stay, access sheath use, and stone free rate or radiation exposure. Among all cases, we had 49 cases (81.6%) with no postoperative complications (21 cases for Pusen group and 28 cases for LithoVue group). The incidence of postoperative complications was significantly higher among Pusen group than LithoVue group (p = 0.02). Initial purchase cost for both FURS had no significant difference (P = 0.86).

Conclusion
RIRS can be performed effectively with Pusen 3011 and LithoVue single use flexible ureteroscopy in patients diagnosed with renal calculi < 2 cm with superior outcomes with LithoVue.
Variability in Tree-ring Width and NDVI Responses to Climate at a Landscape Level
Authors: Mašek Jiří , Tumajer Jan , Lange Jelena , Kaczka Ryszard , Fišer Petr , Treml Václav 
Published: January 2023

AbstractInter-annual climatically driven growth variability of above-ground biomass compartments (for example, tree stems and foliage) controls the intensity of carbon sequestration into forest ecosystems. However, understanding the differences between the climatic response of stem and foliage at the landscape level is limited. In this study, we examined the climate-growth response of stem and leaf biomass and their relationship forPinus sylvestris(PISY) andPicea abies(PCAB) in topographically complex landscapes. We used tree-ring width chronologies and time series of the normalized difference vegetation index (NDVI) derived from high-resolution Landsat scenes as proxies for stem and leaf biomass, respectively. We then compared growth variability and climate-growth relationships of both biomass proxies between topographical categories. Our results show that the responses of tree rings to climate differ significantly from those found in NDVI, with the stronger climatic signal observed in tree rings. Topography had distinct but species-specific effects: At moisture-limited PISY stands, stem biomass (tree rings) was strongly topographically driven, and leaf biomass (NDVI) was relatively insensitive to topographic variability. In landscapes close to the climatic optimum of PCAB, the relationship between stem and leaf biomass was weak, and their correlations with climate were often inverse, with no significant effects of topography. Different climatic signals from NDVI and tree rings suggest that the response of canopy and stem growth to climate change might be decoupled. Furthermore, our results hint toward different prioritizations of biomass allocation in trees under stressful conditions which might change allometric relationships between individual tree compartments in the long term.
Motivation, stress, recovery, and physical activity of teachers: discoveries with the Reiss Motivation Profile® and the Firstbeat® measurement
Authors: Tuominen Pipsa P. A. , Mayor Päivi 
Published: January 2023

Abstract
Aim
Teaching is known as a high-stress occupation. Managing fatigue and promoting work engagement, teachers’ expectations and perceptions can impact work-related stress–recovery–balance and physical activity levels. The main objective of the current study was to investigate the relationship between intrinsic motivational factors and the autonomic nervous system, such as heart rate and heart rate variability regulation, sleep, and physical activity levels.

Methods
The research included 66 primary and high school teachers in Tampere, Finland, in 2020–2021. The Reiss Motivation Profile® (RMP) was selected as an instrument to provide a practical approach to understanding people’s intrinsic motivators and the effects of those on the Firstbeat®-measured heart rate and heart rate variability, and accelerometry. Stepwise multiple linear regression models were used to assess whether the RMP motives reflected Firstbeat®-measured outcomes.

Results
Motives such as Acceptance, Eating, Family, Physical Activity, Power, Tranquillity, and Vengeance were found to have a relationship with Firstbeat®-measured outcomes. An increase in the Physical Activity motive was related to lower stress and less light physical activity. Furthermore, an increase in the Physical Activity motive showed a relationship with better recovery and a higher amount of vigorous physical activity. However, the statistical analysis of heart rate and heart rate variability showed only low explanatory power (R2 = 0.111–0.140) for stress, recovery, and sleep. On the contrary, the explanatory power of measurements related to physical activity and sedentary behavior was higher (R2 = 0.171–0.298). In addition, the need for Acceptance as an important intrinsic motive that may prevent people from vigorous physical activity deserves further research.

Conclusion
The results indicated that there are several factors affecting the autonomous nervous system but also behavior. The basic desires explained sedentary and physical activity behavior better than the functioning of the autonomic nervous system. The 16 life motives can serve as a valuable theory for understanding better how to encourage people to have healthier habits.
Nanoscale zero-valent iron mitigates arsenic mobilization and accumulation in Sinapis alba grown on a metal(loid)-polluted soil treated with a dunite mining waste-compost amendment
Authors: Díaz A. M. , Forján R. , Gallego J. R. , Benavente-Hidalgo L. , Menéndez-Aguado J. M. , Baragaño D. 
Published: January 2023

Abstract
Background and aim
The use of amendments to immobilize metals in polluted soils is a widely accepted remediation approach, and in the framework of the circular economy, amendments produced from mining and/or biomass waste have gained relevance. However, the application of such amendments can also mobilize metalloids. Here we propose the combination of nanoscale zero-valent iron nanoparticles (nZVI) with dunite (mining waste) and compost for the remediation and restoration of soil affected by high concentrations of As and metals.

Methods
To this end, we treated pots containing the polluted soil with combinations of dunite, compost, and nZVI for 75 days. In addition, Sinapis alba was used to evaluate the effects of the amendments on pollutant accumulation in the plant. The mobility of the pollutants was monitored through TCLP extraction and by sampling pore water. Furthermore, pH, available P, and cation exchange capacity (CEC) were also determined.

Results
Dunite application led to the immobilization of metals, and supplied Mg, thus improving CEC. On the other hand, compost increased nutrient content, and also promoted plant growth. However, this amendment caused a dramatic increase in As accumulation in the plants. Finally, the application of nZVI in combination with the other two amendments was found to be the most appropriate strategy since it not only prevented As mobilization and accumulation but also added nutrients to the soil, thus promoting plant growth.

Conclusion
The combination of nZVI with dunite mining waste and compost proved effective for the remediation of soil simultaneously polluted by As and metals.
Best Practices im Chatbot Coaching. Einblicke in Forschung und Entwicklung des StudiCoachBots der TH Köln und in die Coaching Chatbot Plattform evoach
Authors: Mai Vanessa , Rutschmann Rebecca 
Published: January 2023

ZusammenfassungDer Beitrag stellt zwei Best Practices im Chatbot Coaching vor. Der erste Teil gibt Einblicke in die Entwicklung des StudiCoachBots der TH Köln, der Reflexionsprozesse bei Studierenden zu Prüfungsangst anregt. Er fasst zentrale Forschungsergebnisse zur Beziehungsgestaltung zusammen, die Hinweise auf beziehungsbildende Faktoren im Chatbot Coaching geben (technische Funktionalität, Disclosure-Verhalten, Interaktionsmethode). Der zweite Teil stellt das Startup evoach vor – eine Coaching Plattform, die hybrides Coaching mit maßgeschneiderten Chatbots anbietet – und beschreibt anhand konkreter Anwendungsfälle, wie Chatbots in Kombination mit persönlichem Coaching den Coachingprozess bereichern.
Four-Year Nutritional Outcomes in Single-Anastomosis Duodeno-Ileal Bypass with Sleeve Gastrectomy Patients: an Australian Experience
Authors: Rao Ravi , Mehta Munish , Sheth Devesh Ramesh , Hogan Gabrielle 
Published: January 2023

Abstract
Nutritional deficiencies following malabsorptive surgeries are a major concern.

Purpose
To present clinical-based, mid-term nutritional outcomes in single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) patients using a nutritional supplement based on the American Society for Metabolic & Bariatric Surgery (ASMBS) guidelines.

Setting
Single private institute, Australia.

Materials and Methods
Data from 196 patients who underwent a primary SADI-S by a single surgeon from January 2017 through March 2022 were retrospectively analysed. All patients received either original or altered formulated nutritional supplementation throughout the study. In total, three formulae, slightly different from each other, were used at three different time points to formulate the supplement.

Results
In total, 196 patients were included. The average age and preoperative body mass index were 44.9 ± 6.7 years and 43.6 ± 22.5 kg/m2, respectively. Nutritional follow-up was available on 77.5%, 73.2%, 73.4%, and 59.7% of patients at 12, 24, 36, and 48 months, respectively. At baseline, 48.3%, 30%, 14.9%, 13.3%, 12.4%, 3.8%, 2.3%, and 0.5% of the patients had vitamin D, calcium, folic acid, total protein, iron, vitamin B12, copper, and vitamin A deficiencies, respectively. Postoperatively, mild to moderate vitamin deficiencies were noted in 14.2% of the patients in the first 18 months; however, at 4 years, the cohort had zero nutritional deficiencies. There were no long-term complications, revisions/conversions, or mortalities related to nutritional deficiencies.

Conclusion
Factors, like preoperative and postoperative early, aggressive correction of nutritional deficiencies, regular laboratory monitoring and follow-ups with the multidisciplinary team, and adherence to our formulated nutritional supplement, have contributed to favourable nutritional outcomes at 4 years.

Graphical Abstract
Haltung als Ausdruck sozialprofessionellen Ethos’
Authors: Will Jakob Christoph , Dörr Margret 
Published: January 2023

ZusammenfassungHaltung als Ausdruck eines sozialprofessionellen Ethos zu verstehen, verweist auf die Person als professionell Handelnde. Das ungebrochene Interesse an einer Auseinandersetzung um den Begriff der Haltung lässt sich in diesem Verständnis als Suchbewegung nach Handlungsorientierung in Krisenzeiten interpretieren. Der Beitrag spannt einen übergeordneten Bogen des Schwerpunkts und rahmt die Beiträge dieser Ausgabe.
Uncovering Spatial Patterns and Temporal Trends in the Ageing of the Tokyo Metropolis Population
Authors: Leyso Novee Lor , Umezaki Masahiro 
Published: January 2023

AbstractUrban populations are ageing, but the spatial and temporal distribution of the older adult population is highly heterogeneous, which has implications for resource allocation, service provision, and infrastructure needs. Based on the method proposed by Atkins & Tonts (2016), we used the interplay between changes in the number and proportion of the older adult population to identify population ageing types: accumulation (both the number and proportion of the older adult population increases); decline (both the number and the proportion of the older adult population decreases); dilution (the number of individuals in the older adult population increases while the proportion decreases); and concentration (the number of individuals in the older adult population decreases while the proportion increases). We investigated the spatial distribution and temporal trends of these types of population ageing in the Tokyo Metropolis during 2000–2015 in a 500-m grid using distance from the JR Yamanote Line and the nearest train station as geographic reference points. Accumulation and dilution occurred in east Tokyo, peaking at 10–40 km from the JR Yamanote Line and decreasing within 1 km of the nearest train station, respectively. Decline and concentration increased with distance in west Tokyo, and were more prevalent at distances of more than 40 km from the JR Yamanote Line and more than 8 km from the nearest train station. The allocation of urban resources should be optimised to meet the changing needs of the ageing population, particularly in suburbs and mountainous areas.
Interpretable machine learning analysis to identify risk factors for diabetes using the anonymous living census data of Japan
Authors: Jiang Pei , Suzuki Hiroyuki , Obi Takashi 
Published: January 2023

Abstract
Purpose
Diabetes mellitus causes various problems in our life. With the big data boom in our society, some risk factors for Diabetes must still exist. To identify new risk factors for diabetes in the big data society and explore further efficient use of big data, the non-objective-oriented census data about the Japanese Citizen’s Survey of Living Conditions were analyzed using interpretable machine learning methods.

Methods
Seven interpretable machine learning methods were used to analysis Japan citizens’ census data. Firstly, logistic analysis was used to analyze the risk factors of diabetes from 19 selected initial elements. Then, the linear analysis, linear discriminate analysis, Hayashi’s quantification analysis method 2, random forest, XGBoost, and SHAP methods were used to re-check and find the different factor contributions. Finally, the relationship among the factors was analyzed to understand the relationship among factors.

Results
Four new risk factors: the number of family members, insurance type, public pension type, and health awareness level, were found as risk factors for diabetes mellitus for the first time, while another 11 risk factors were reconfirmed in this analysis. Especially the insurance type factor and health awareness level factor make more contributions to diabetes than factors: hypertension, hyperlipidemia, and stress in some interpretable models. We also found that work years were identified as a risk factor for diabetes because it has a high coefficient with the risk factor of age.

Conclusions
New risk factors for diabetes mellitus were identified based on Japan's non-objective-oriented anonymous census data using interpretable machine learning models. The newly identified risk factors inspire new possible policies for preventing diabetes. Moreover, our analysis certifies that big data can help us find helpful knowledge in today's prosperous society. Our study also paves the way for identifying more risk factors and promoting the efficiency of using big data.