Miracle-dz/UniFAR-FTUs huggingface dataset:
Perbedaan Tingkat Caregiver Burden Yang Merawat Lansia Demensia Di Panti Wreda

Background: The prediction of the number of elderly people in Indonesia will increase along with changes in Indonesia's demographic status. Elderly people who feel that at home less socialize with elderly people choose to live in a nursing home, this is an alternative for the elderly, elderly degenerative diseases are very diverse one of which is elderly dementia with dementia will require a level of dependence beyond the elderly who do not have dementia. Caregivers who treat the elderly with dementia will be very vulnerable to burden in treating elderly dementia.Purpose: The purpose of this study was to analyze the difference in the level of caregiver burden who care for elderly dementia at a nursing home.Method: This research method uses "Quasy experiment pre and posttest with control group". Number of samples 34 from each group. Data were analyzed using the Mann Whitney test with the help of SPSS 22.0 for Windows.Results: Research in the control group has a higher level of burden caregivers compared to intervention groups, this is because the control group respondents have lower wages than the city minimum wage, besides that the elderly characteristics carried out by nursing care have more severe dementia than the intervention group.Conclusion: The results of this study can be used as a reference in developing services for the elderly and elderly caregiver, especially the elderly who suffer from dementia.
Effects of stone terraces on crop yields and farm profitability : Results of on-farm research in Tigray, Northern Ethiopia

ABSTRACT: This study was conducted in Tigray, northern Ethiopia, to determine the yield and farm profitability impact of stone terraces. Seventy terraced and 70 non-conserved plots were equally divided between wheat (Triticum aestivum) and fava beans (Vicia faba). Two quadrates each 8 m2 (86 ft2) were marked on each terraced plot: one just above the terrace (soil accumulation zone) and another one parallel to this but below the next upper terrace (soil loss zone). Only one quadrate (control zone) was marked on each of the non-conserved plots. Results indicate that (1) grain and straw yields for both crops were significantly higher in the soil accumulation zone than in the soil loss zone or in the non-terraced control plots; (2) grain and straw yields from the soil accumulation zone were more stable than those from control zone; (3) over a 30-yr planning horizon, stone terraces yielded a 50% rate of return, roughly equivalent to reported farmer discount rates in Ethiopia.
Analysis of Koi Fish Marketing Strategy at CV Agro Koi, Kediri Regency

The aim of this research is to find out how to implement koi fish marketing strategies at CV. Agra Koi uses SWOT analysis. Using SWOT analysis as a strategy formulation tool, through SWOT Analysis you can find out internal and external business factors, this series is an application of marketing promotion at CV. Agra Koi Farm Kediri. In this research, researchers used descriptive research aimed at understanding the meaning and uniqueness of the object being studied. And using a qualitative approach. The research location is in Rembang village, Ngadiluwih, Kab. Kediri. Data collection techniques in this research used in-depth interviews, observation, and documentation.
Research on Human Skeleton Modeling and Anthropometric Parameters Modeling for Online Examination

Detection and identification of abnormal behavior is an important technology which can be applied in many cases. In this paper, an improved algorithm of positioning key points is proposed. It models the human skeleton parametrically based on the key points and converts the problem of human behavior trend analysis into the parametrical problem. It reduces the amount of calculation and storage in human behavior analysis greatly. The algorithm can deal with most body postures and the experiment shows that extracting results are more accurate and can be the base data for detection and identification of abnormal behavior for online examination.
Evaluation of Flapless Approach for Dental Implantation: A Prospective Clinical Study

Objective: The present study aims to evaluate the dental implant flapless technique as a successful treatment option for implant patients by assessing marginal bone loss after 3 months and post-operative pain.Methods: One hundred and twenty implants were placed in 40 patients. Two parameters were assessed post-operatively: marginal bone loss and pain; the difference in marginal bone loss (MBL) was measured based on an immediate post-operative OPG and another OPG taken three months after the surgery, and pain assessment was achieved using a 10-cm visual analog scale (VAS) post-operatively for five days. Descriptive and inferential statistics were used, and as most of the data were not normally distributed, Mann-Whitney test was used for comparing the groups.Results: The present study's findings demonstrate that the average marginal bone loss (MBL) around the implant at three months using the flapless technique was 0.2± 0.1 mm. No implants failed to osseointegrate. There was no statistical MBL significance between male and female patients or between upper and lower jaw. This study shows significantly reduced post-operative pain in the flapless implant placement technique. Conclusions: The flapless approach is predictable when patient selection, meticulous planning, and precise surgical protocols are followed.
Stochastic climate models Part I. Theory

A stochastic model of climate variability is considered in which slow changes of climate are explained as the integral response to continuous random excitation by short period “weather” disturbances. The coupled ocean-atmosphere-cryosphere-land system is divided into a rapidly varying “weather” system (essentially the atmosphere) and a slowly responding “climate” system (the ocean, cryosphere, land vegetation, etc.). In the usual Statistical Dynamical Model (SDM) only the average transport effects of the rapidly varying weather components are parameterised in the climate system. The resultant prognostic equations are deterministic, and climate variability can normally arise only through variable external conditions. The essential feature of stochastic climate models is that the non-averaged “weather” components are also retained. They appear formally as random forcing terms. The climate system, acting as an integrator of this short-period excitation, exhibits the same random-walk response characteristics as large particles interacting with an ensemble of much smaller particles in the analogous Brownian motion problem. The model predicts “red” variance spectra, in qualitative agreement with observations. The evolution of the climate probability distribution is described by a Fokker-Planck equation, in which the effect of the random weather excitation is represented by diffusion terms. Without stabilising feedback, the model predicts a continuous increase in climate variability, in analogy with the continuous, unbounded dispersion of particles in Brownian motion (or in a homogeneous turbulent fluid). Stabilising feedback yields a statistically stationary climate probability distribution. Feedback also results in a finite degree of climate predictability, but for a stationary climate the predictability is limited to maximal skill parameters of order 0.5. DOI: 10.1111/j.2153-3490.1976. tb00696.x
A ﬀ ective Disorders

Background: Sexual satisfaction and function are vastly understudied in female service members/veterans (SM/ Vs). Military sexual trauma (MST) is associated with poorer sexual satisfaction and function, but the mechanism through which MST relates to sexual satisfaction and function is unknown. Posttraumatic stress disorder (PTSD) is one of the most frequent diagnoses following MST, and those with poorer sexual satisfaction and function experience higher PTSD symptoms, particularly numbing and anhedonia symptom clusters. In this study, we examined which symptom clusters (re-experiencing, avoidance, negative alterations in cognition and mood [NACM], anhedonia, dysphoric and anxious arousal) mediated the relationship between MST and sexual satisfaction and function. Method: Female SM/Vs ( N =1,189) completed self-report measures of MST severity (none, harassment only, assault), PTSD, sexual satisfaction, and sexual function, as well as a demographic inventory. Results: Anhedonia and dysphoric arousal fully mediated the association between assault MST and sexual satisfaction and function. NACM fully mediated the association between harassment and assault MST and sexual satisfaction. Finally, dysphoric arousal signi ﬁ cantly mediated the association of harassment MST with sexual satisfaction and function. Limitations: Data was cross-sectional and based on self-report. Conclusions: The relationship between MST and sexual satisfaction and function may be mediated through speci ﬁ c PTSD symptom clusters. As there are no evidenced-based treatments to improve sexual satisfaction and function in female SM/Vs, additional research is needed to develop and pilot interventions. Among those with a history of
The future of Maintenance

In this book, a number of perspectives on predictive and proactive maintenance have been presented that were developed during the course of EU/ECSEL project MANTIS in the years 2015–2018. At the start of the project, a number of developments heralded things to come: The Big Data and data science revolution, internet of things (IoT), advances in machine learning, improvements in wireless connectivity, sensor technologies and available computing power. At the level of software, cloud computing, software services, semantic interoperability and multi-tiered architectures all displayed a fast-moving ﬁeld. This ﬁnal chapter takes a step back and presents some views towards the future. Whether one deals with PM on a manufacturing process or a ﬂeet of machines, in logistics or construction, the potential gains from improving the maintenance policies can be substantial. With a daily yield of 30% of a particular production process, an improvement of only 3 percentage points due to improved maintenance policies constitutes an improvement of 10% on the status quo. In maintenance services for customers of a leased ﬂeet of machines, the statistical analysis of customer usage patterns allows a company to design services, adapted to the wear & tear patterns that are typical for different customer groups and provide economically attractive solutions (e.g., ‘bronze, silver
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty

Retrieval augmentation enhances generative language models by retrieving informative ex-emplars relevant for output prediction. However, in realistic graph parsing problems where the output space is large and complex, classic retrieval methods based on input-sentence similarity can fail to identify the most informative exemplars that target graph elements the model is most struggling about, leading to suboptimal retrieval and compromised prediction under limited retrieval budget. In this work, we improve retrieval-augmented parsing for complex graph problems by exploiting two unique sources of information (1) structural similarity and (2) model uncertainty. We pro-pose S tructure-aware and U ncertainty-G uided A daptive R etrieval (SUGAR) that first quantify the model uncertainty in graph prediction and identify its most uncertain subgraphs, and then retrieve exemplars based on their structural similarity with the identified uncertain subgraphs. On a suite of real-world parsing benchmarks with non-trivial graph structure (SMCalflow and E-commerce), SUGAR exhibits a strong advantage over its classic counterparts that do not leverage structure or model uncertainty.
Dynamics and disorder on the stability of pyrazinamide polymorphs

This article focuses on the structure and relative stability of four pyrazinamide polymorphs. New single crystal X-ray diffraction data collected for all forms at 10 K and 122 K are presented. By combining periodic ab initio DFT calculations with normal-mode reﬁnement against X-ray diffraction data, both enthalpic and entropic contributions to the free energy of all polymorphs are calculated. On the basis of the estimated free energies, the stability order of the polymorphs as a function of temperature and the corresponding solid state phase transition temperatures are anticipated. It can be concluded that the (cid:2) and (cid:3) forms have higher vibrational entropy than that of the (cid:4) and (cid:5) forms and therefore they are signiﬁcantly more stabilized at higher temperatures. Due to the entropy which arises from the disorder in (cid:3) form, it overcomes form (cid:2) and is the most stable form at temperatures above (cid:2) 500 K. Our ﬁndings are in qualitative agreement with the experimental calorimetry results.
Time of Flight Measurement Method Combining Threshold Method and Cross-Correlation Method

With various benefits such as a large range ratio, suitability for large-diameter measurement, and lack of excess pressure drop, ultrasonic flowmeters (UFMs) have been widely adopted in natural gas measurement. The accuracy of flow measurement in transit-time UFMs is mostly dependent on the accurate measurement of time of flight (TOF). The threshold method, the cross-correlation (CC) method, and the model-based method are examples of traditional TOF calculation techniques. However, the threshold method is susceptible to such factors as waveform distortion, amplitude attenuation, and noise, the CC method is constrained by the sampling frequency, and the model-based method necessitates a significant investment in calculation time and resources. Based on the analysis of the shortcomings of traditional TOF measurement methods, a TOF measurement method that combines the threshold method and CC method is presented. This method integrates the advantages of the high measurement resolution of the threshold method and the strong robustness of the CC algorithm. The results demonstrate that the flow rate accuracy and the repeatability of the TOF are greatly improved by this method.
Preliminary study of the application of thermal mortar in 3D printed concrete walls

3D printing (3DP), as an emerging technology in the construction industry, has the potential to solve the sector’s labour shortages and low efficiency, as well as helping to reduce its negative environmental impact. On the investigative path towards new construction solutions, the thermal performance of buildings must not be compromised. In additively manufactured buildings to date, walls have been printed with cavities that are subsequently manually filled or projected with conventional thermal insulation materials, such as polyurethane and vermiculite. To bridge the gap between conventional building construction and 3DP, it is important to present feasible and effective thermal solutions that can be applied using an automatic mode. This paper explores the viability of applying a commercial thermal mortar as an insulation in 3D printed concrete walls. Therefore, a preliminary experimental campaign was carried out to assess the behaviour of the thermal mortar during and after its application. It was found that concrete walls constrain the drying process of the thermal mortar, generating stresses that lead to the occurrence of cracks. To avoid their formation, some strategies were tested, namely by adding superplasticizer to the mixture, opening joints, drilling holes or opting for an incomplete filling of the cavities.
Linking dataset quality and MPC in buildings: impact of temporal resolution

This study aims at assessing the impact of dataset quality on the performance of Model Predictive Control (MPC). The dataset feature, which is the target of this study, is temporal resolution, which applies to both data logging and the controller time step. A high temporal resolution might result in a more accurate predictive model, but it increases the need for data storage as well as the computational load on the model training. From the controller side, increasing the temporal resolution might lead to better control performance, but it sabotages the real-time response of the system. First, predictive models are developed based on datasets with different temporal resolutions. Subsequently, these predictive models are implemented within an MPC. Results reveal that decreasing the time step lower than 1 hour does not significantly improve the performance of the MPC. However, increasing the time step of MPC above 1 hour deteriorates its performance. Real-time response of the controller is a crucial criterion which deteriorates as the time step shortens. Hence, a suitable choice of temporal resolution is essential for developing a predictive model and MPC. In our case, a resolution of 1 hour is enough to guarantee a good performance of the controller.
Digital Commons @ University of South Florida Digital Commons @ University of South Florida

We investigated whether ancestry-speciﬁc genetic factors affect tuberculosis (TB) progression risk in a cohort of admixed Peruvians. We genotyped 2,105 patients with TB and 1,320 household contacts (HHCs) who were infected with Mycobacterium tuberculosis ( M. tb ) but did not develop TB and inferred each individual’s proportion of native Peruvian genetic ancestry. Our HHC study design and our data on potential confounders allowed us to demonstrate increased risk independent of socioeconomic factors. A 10% increase in individual-level native Peruvian genetic ancestry proportion corresponded to a 25% increased TB progression risk. This corresponds to a 3-fold increased risk for individuals in the highest decile of native Peruvian genetic ancestry versus the lowest decile, making native Peruvian genetic ancestry comparable in effect to clinical factors such as diabetes. Our results suggest that genetic ancestry is a major contributor to TB progression risk and highlight the value of including diverse populations in host genetic studies
GENERALIZED INTEGRAL TYPE CONTRACTION AND COMMON FIXED POINT THEOREMS USING AN AUXILIARY FUNCTION

In this paper, with the help of new auxiliary function and without assuming the continuity and commutativity property of self maps, some common ﬁxed theorems for generalized integral type contraction in complete metric spaces are proved. As application of our results, some corollaries are given. Also, some examples are given to justify the importance and existence of our ﬁndings in current research.
Quantiﬁcation of Age-Related and per Diopter Accommodative Changes of the Lens and Ciliary Muscle in the Emmetropic Human Eye

P URPOSE . To calculate age-related and per diopter (D) accommodative changes in crystalline lens and ciliary muscle dimensions in vivo in a single cohort of emmetropic human adults ages 30 to 50 years. M ETHODS . The right eyes of 26 emmetropic adults were examined using ultrasonography, phakometry, anterior segment optical coherence tomography, and high resolution magnetic resonance imaging. Accommodation was measured both subjectively and objectively. R ESULTS . In agreement with previous research, older age was linearly correlated with a thicker lens, steeper anterior lens curvature, shallower anterior chamber, and lower lens equivalent refractive index (all P < 0.01). Age was not related to ciliary muscle ring diameter (CMRD) or lens equatorial diameter (LED). With accommodation, lens thickness increased ( þ 0.064 mm/D, P < 0.001), LED decreased ( (cid:2) 0.075 mm/D, P < 0.001), CMRD decreased ( (cid:2) 0.105 mm/D, P < 0.001), and the ciliary muscle thickened anteriorly ( þ 0.013 to þ 0.026 mm/D, P < 0.001) and thinned posteriorly ( (cid:2) 0.011 to (cid:2) 0.015, P < 0.01). The changes per diopter of accommodation in LED, CMRD, and ciliary muscle thickness were not related to subject age. C ONCLUSIONS . The per diopter ciliary muscle contraction is age independent, even as total accommodative
What Got Us Here, Won’t Get Us There

: This article explores the issue of work-related stress and its negative impacts on mental health and well-being. The concept of alienation is used to understand these effects, and the emergence of the Lying Flat movement in China and other similar concepts worldwide are discussed. It is examined that the mental health benefits of craft making are generated through the making process itself and expressing social opinions. The author further discusses the unproven possible well-being benefits of after-making interaction with craft, and its potential. The article then describes a craft project aimed at transferring the joy of craft from the maker to the user, which involves creating a small hand-sculpted glass figure called the Little Guy. Using cultural probes and participant interviews, the author verifies the well-being benefits brought by the Little Guy, as participants used it as a vehicle for self-expression and bonding, ultimately gaining health and well-being benefits.
Dipeptidyl peptidase-4 inhibitor linagliptin reduces urinary albumin excretion through the protection of glomerular endothelial function

Background: In most developed countries, diabetic kidney disease is the most common cause of chronic kidney disease, leading to end-stage renal disease, and it is also associated with cardiovascular diseases, including heart failure, and a higher risk of other microvascular complications. A recent clinical trial indicated that the dipeptidyl peptidase-4 inhibitor linagliptin prevents the occurrence and progression of albuminuria in patients with type 2 diabetes. Thus, this study aimed to elucidate the molecular mechanism underlying the inhibitory effect of linagliptin on albuminuria in diabetic kidney disease. Methods: Control C57BL/6 mice and diabetic Ins2 +/Akita mice were orally administered linagliptin (5 mg/kg/ day) every day for 8 weeks. Results: Compared to control mice, Ins2 +/Akita mice had markedly elevated blood glucose and HbA1c levels, but there were no significant changes after linagliptin treatment. Furthermore, albuminuria and urinary 8-OHdG levels were significantly increased and glomerular mesangial area was significantly expanded in Ins2 +/Akita mice compared to those in control mice; these changes were ameliorated by linagliptin treatment, which also improved the degradation of glomerular endothelial glycocalyx and enhancement of glomerular permeability of macromolecules. The activity of AMP-activated protein kinase and the expression of guanosine 5'-triphosphate cyclohydrolase I in human glomerular endothelial cells were significantly lower in high glucose conditions and were improved by linagliptin or GLP-1 administration. Discussion: These results together suggest that linagliptin reduced albuminuria in a blood glucose-independent manner via the reduction of oxidative stress and maintenance of the glycocalyx in endothelial cells. Thus, earlier treatment with linagliptin may slow the progression of diabetic kidney disease.
UVM ScholarWorks UVM ScholarWorks

Modularity has been observed in biological systems of all shapes and sizes. Intuitively, we recognize that this component-based structure can increase efficiency and robustness in a system. Gene regulatory networks are a perfect example of a biological system that exhibits modularity, however, just how this modularity evolved is still unresolved. The research of Espinosa-Soto and Wagner supports the hypothesis the modularity observed in biological gene regulatory networks evolved as a result of specialization in gene activity (Espinosa-Soto & Wagner, 2010). By manipulating the implementation of their research we may further explore the conditions that drive the evolution of modularity. Specifically, this study explores how the robustness of a network and use of biased mutation may influence how modularity is evolved in gene regulatory networks.