Miracle-dz/UniFAR-FTUs huggingface dataset:
Collection evaluation: micro and macro levels- preliminary guidelines and the results of a pilot study of twoFinnish University Libraries

Collection evaluation serves many purposes on different levels local collection work, collection development policy, fi nancing and funding, national co-operation. It is very diffi cult to measure how “good” a collection is. Furthermore, the character of collections has changed a lot: they are more varied, less stable, and less predictable; they are also more demand-driven. The same difficulty applies to collection quality, which is another vague and amorphous concept. The quality can be viewed from many perspectives, e.g. from the viewpoints of different stakeholder groups. However, quality assessment is an important process, and if well done, it provides a sound basis for the decisions in the future and supports planning and communication among libraries and their users. One collection evaluation measure and method is not appropriate for every purpose. Accordingly, both the goals of the library and the goals and purposes of the collection must be clearly stated usually they are described in the collection development policy document before any meaningful evaluation can be started. After the collection goals have been assigned to various subject areas it is possible to evaluate how successfully the collection building has been managed. Collection evaluation: micro and macro levels preliminary guidelines and the results of a pilot study of two Finnish University Libraries
Controlling methods for power factor correction of storage devices connected into smart grid

Increasing intensity of interest in clean energy and smart grid fields has raised the demand for solid state AC-DC converters to enhance power quality in expression of PFC (Power Factor Correction) and lessening THD (total distortion of harmonic) at in-puts of AC mains and precisely regulating DC output have resulted in proposing of several topologies based on classical converters as boost, buck, and buck-boost. This paper presents an exhaustive review of controlling methods for IPQCs (improved power quality converters) and configurations, design features, and selection for connecting storage devices into micro-grid. The paper is aimed to present a broad perspective on the status of IPQC technology to researchers, designers and application engineers working on clean energy and smart grid fields.
Lateral wet oxidation of AIGaAs and its applications in high index contrast distributed feedback ridge waveguides

A high temperature wet oxidation technique has been developed to laterally oxidize high aluminum content AlxGa t.xAs (x=98%) sandwiched between GaAs and low aluminum content AlxGai_xAs (x=70%). The oxides can be used to produce optical confinement and the current confinement in optoelectronic devices. To characterize the products of this high temperature oxidation, atomic force microscopy has been use to study the induced structure change. No significant vertical expansion has been detected demonstrating that this technique is particularly useful for distributed reflector devices. The composition of the oxidation product was also studied by x-ray photoelectron spectroscopy revealing that the high temperature oxidation produces arsenic poor A10x. We explained that the As is" lost by thermal evaporation of AsH3 during the high temperature oxidation process. By studying the binding energy of Al 2p core levels in the oxide, it has been found that the high aluminum content AlxGai_xAs (x=98%) oxidizes to an A10x while the low aluminum AlxGaj.xAs (x=70%) produces A1203. ' ' , To apply the lateral oxidation to distributed feedback waveguides, we used electron beam lithography and wet etching to fabricate test waveguides. By optimizing the process parameters, 100 nm linewidth gratings with spacing greater than 280nm have been achieved. A multipass writing technique was developed to attenuate the electron beam writing noise and achieve superior uniformity. The surface grating ridge waveguides have been fabricated on the laterally oxidized AlxGai_xAs layer successfully.
Natural Polyphenol-Containing Gels against HSV-1 Infection: A Comparative Study

Herpes simplex virus type 1 infection commonly affects many people, causing perioral sores, as well as severe complications including encephalitis in immunocompromised patients. The main pharmacological approach involves synthetic antiviral drugs, among which acyclovir is the golden standard, often leading to resistant virus strains under long-term use. An alternative approach based on antiviral plant-derived compounds, such as quercetin and mangiferin, demonstrated an antiviral potential. In the present study, semisolid forms for cutaneous application of quercetin and mangiferin were designed and evaluated to treat HSV-1 infection. Phosphatidylcholine- and poloxamer-based gels were produced and characterized. Gel physical–chemical aspects were evaluated by rheological measurements and X-ray diffraction, evidencing the different thermoresponsive behaviors and supramolecular organizations of semisolid forms. Quercetin and mangiferin diffusion kinetics were compared in vitro by a Franz cell system, demonstrating the different gel efficacies to restrain the polyphenol diffusion. The capability of gels to control polyphenol antioxidant potential and stability was evaluated, indicating a higher stability and antioxidant activity in the case of quercetin loaded in poloxamer-based gel. Furthermore, a plaque reduction assay, conducted to compare the virucidal effect of quercetin and mangiferin loaded in gels against the HSV-1 KOS strain, demonstrated the suitability of poloxamer-based gel to prolong the polyphenol activity.
Design of a kite controller for airborne wind energy

Airborne wind energy is a field of technology being developed to make use of the vast, renewable wind power resource which is above the reach of traditional wind turbines, without the need for a large tower. Much analytical research has been undertaken in recent years to better understand the problem space. However, there are relatively few working systems that demonstrate their functioning and can be compared with simulations and theory. Off-grid power systems still rely heavily on diesel generators, so devices that tap renewable energy sources with similar ease of deployment and lower cost of energy would help this sector to reduce its reliance on expensive, polluting, fossil fuels. The development of these systems is often performed by teams with business interests leaving little open access content available regarding the design process of such devices or the data that they provide. A kite control pod has been designed for the remote control of a standard kitesurfing kite and a prototype has been demonstrated stably flying such a kite on a fixed length tether. This pod and kite would be tethered to a winch and as the kite flies across the wind, the lift force generated is applied to the winch which is reeled out and electrical power generated. Once fully extended, the tether would be reeled in with the kite de-powered, using some of the generated energy, stored in a battery. This system can then be used as a test bed for the further development of a compact, autonomous, airborne wind energy system for off-grid applications.
To Be, to Do, to Share: The Triple-Loop of Water Governance to Improve Urban Water Resilience—Testing the Benidorm’ Experience, Spain

Peri-urban interfaces tend to ensure water supply relying on their surrounding’ resources, generating water disputes when asking for collaboration. The urban-rural matrix of the Marina Baja county in southern Spain is characterized by inland irrigation and coastal tourism development, being the most water-intensive activities in Benidorm. This contribution addresses the following research question: Can a better and systematic understanding of stakeholders’ behavior and interactions increase water resilience in urban-rural interfaces? Data were collected from semi-structured interviews and questionnaires to 19 key stakeholders representing government officials, water managers, and the agricultural, tourism, and environmental sectors. Data were analyzed following the SAA and using MaxQDA® Analytics Pro 2020. A triple-loop analysis on water governance has been developed and applied to synthesize stakeholders’ behavior when addressing urban water resilience to face climate change impacts: relevance and representativeness (to be), recognition and assessment (to do), and collaboration (to share). Results highlighted how Benidorm’s urban water resilience is conditioned by four main learnings from stakeholders’ perception and interaction: (1) ‘feeling represented’ is related to stakeholders’ capacity to negotiate decisions, (2) lack of political will and Benidorm’s leading role increase stakeholders’ feelings of underrepresentation, motivating power imbalance, (3) stakeholders’ actions are less valued than stakeholders’ roles and functions, and (4) agreements are benefited by predisposition (willingness), but also by the compatibility of discourses (affinity) and the technical-management facilities (viability).
It’s about time: Linking dynamical systems with human neuroimaging to understand the brain

Abstract Most human neuroscience research to date has focused on statistical approaches that describe stationary patterns of localized neural activity or blood flow. While these patterns are often interpreted in light of dynamic, information-processing concepts, the static, local, and inferential nature of the statistical approach makes it challenging to directly link neuroimaging results to plausible underlying neural mechanisms. Here, we argue that dynamical systems theory provides the crucial mechanistic framework for characterizing both the brain’s time-varying quality and its partial stability in the face of perturbations, and hence, that this perspective can have a profound impact on the interpretation of human neuroimaging results and their relationship with behavior. After briefly reviewing some key terminology, we identify three key ways in which neuroimaging analyses can embrace a dynamical systems perspective: by shifting from a local to a more global perspective, by focusing on dynamics instead of static snapshots of neural activity, and by embracing modeling approaches that map neural dynamics using “forward” models. Through this approach, we envisage ample opportunities for neuroimaging researchers to enrich their understanding of the dynamic neural mechanisms that support a wide array of brain functions, both in health and in the setting of psychopathology.
On the use of profane language in psychotherapy and counseling: A brief summary of studies over the last six decades

ABSTRACT In this overview, the existing research on swearing, cussing, and cursing over the last six decades is surveyed in the context of mental health therapy and counselling-related pursuits. Swearing is a subject of longstanding controversy, dating back to the days in which prominent figures of the psychotherapeutic tradition like Albert Ellis and Fritz Perls affirmed profane language in their counselling interviews. Although profanity is seemingly taken for granted as a categorically taboo subject matter in present-day counselling, the notion that swearing might add value to counselling remains underrepresented in the literature. Presented here are studies both supporting and contradicting the generally accepted standards for counselor use of profanity in clinical practice, illustrating the context-laden aspects of the importance of language. This article represents a platform that could act to further academic inquiry in the context of swearing in therapy on the part of therapists in framing, staking out, and subsequently showing their own position on whether swearing is simply wrong or that there is a ‘right way’ to use it. Ultimately the focus of this article is on an introduction to a much deeper problematic of language in therapy.
Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data

ABSTRACT New model fit and evaluation tools have been introduced into the Bayesian structural equation modeling framework, including Bayesian versions of classic approximate fit measures (RMSEA, CFI, and TLI), as well as a new adjustment of the posterior predictive p-value to properly account for missing data. We examine the performance of these indices for model fit and selection through a simulation study. This study was designed to assess the performance of several indices in the context of model misspecification and missing data across different sample sizes. Findings suggest that Bayesian approximate fit indices may be better suited for model selection than they are as direct measures of model fit. Implications for applied researchers are discussed.
Too Many for Too Few: Finding Appropriate Nephrology Referrals for Patients With CKD That Optimize Outcomes.

outcomes among patients with CKD. However, the severe shortage in the nephrology workforce precludes evaluation of all patients with CKD by a nephrologist. Thus, clinical guidelines recommend nephrology referral based on clinical criteria that primarily focus on advanced CKD stages. However, these criteria may still identify too many patients relative to the nephrology workforce. An alternative is to use risk prediction tools to guide referral based on patients’ risks for CKD progression. The Kidney Failure Risk Equation (KFRE) is based on 4 variables—age, sex, urinary albumin-creatinine ratio, and estimated glomerular filtration rate (eGFR)—and has been widely validated to predict 2and 5-year risks of kidney failure among patients with CKD. However, its potential value in guiding nephrology referrals and impact on patient volumes and referral patterns have not been well established. In this issue of AJKD, Duggal et al contrast the number of patients identified for referral using the VA/Department of Defense CKD clinical guidelines versus KFRE risk thresholds in a sample of nearly 400,000 patients with CKD in the VA Health Care System. A total of 66,276 patients met at least one laboratory criterion for nephrology referral, which included an eGFR <30 mL/ min/1.73 m, severe albuminuria or proteinuria, or an eGFR decrease >5 mL/min/1.73 m per year. The use of a 2-year KFRE risk ≥1% to guide referrals identified a similar number of patients, but these patients had a higher median KFRE risk (2.3%) than the patients who met the laboratory criteria (1.5%). This implies that the KFRE is more effective at selecting the highest-risk subset of patients. These findings are consistent with prior studies (Table 1) and have important implications for CKD care delivery. In a UK primary-care cohort, a hybrid of National Institute of Health and Care Excellence (NICE) referral guidelines plus 5-year KFRE risk of ≥5% appeared to better capture patients in whom kidney failure would later develop compared with the guidelines alone, in addition to decreasing nephrology referrals. Another UK population-based study projected that the use of a 5-year KFRE risk threshold of 3% instead of the NICE criteria would significantly reallocate potentially referred and unreferred patients and identify patients at
Crossing the divide from education to employment - do business students see group work as a useful bridge?

This study explores students’ perceptions of the connections between undergraduate group work and employment and considers if it can act as a supportive bridge between the two. Recent graduates were able to see group work as a ‘bridging tool’ as they had developed a skillset that provided stability when dealing with unfamiliar workplace situations. Current students could conceive of group work as providing ‘employability currency’ for applications and to secure an interview, but few could extrapolate this to the workplace. Implications for practice include the development of initiatives to raise the awareness and importance of both positive and negative group work and consistently highlighting its functionality as an important bridging tool.
Influence of Fe Addition on the Microstructure and Mechanical Properties of Cu Alloys

The influence of Fe addition on the microstructure and mechanical properties of Cu alloys was studied. Combined with phase identification via EDS, X-ray diffraction shows that only Cu matrix and α-Fe phase exist in Cu-5Fe, Cu-10Fe and Cu14Fe alloys. With the addition of Fe, the grain size refines from 1011 μm in pure Cu to around 46 μm in Cu-Fe alloys. Phase identification of the alloys via EBSD shows that the α-Fe phase with an average grain size of about 4 μm is located in grain boundaries and in the grain interior. With increasing Fe content, the yield stress largely increased while maintaining the high elongation to failure. The results show that grain refinement; second phase strengthening and texture strengthening effect play a descending-order role in the overall strengthening effect.
Rotorcraft simulation modelling and validation for control law design

Abstract This paper describes the development and validation of a high fidelity simulation model of the Bell 412 helicopter for handling qualities and flight control investigations. The base-line model features a rigid, articulated blade-element formulation of the main rotor, with flap and lag degrees of freedom. The Bell 412 HP engine/governor dynamics are represented by a second-order system. Other key features of the base-line model include a finite-state dynamic inflow model and lag damper dynamics. The base-line model gives excellent agreement with flight-test data over the speed range 15-120kt for on-axis responses. Prediction of off-axis responses is less accurate. Several model enhancement options were introduced to obtain an improved off-axis response. It is shown that the pitch/roll off-axis responses in transient manoeuvres can be improved significantly by including wake geometry distortion effects in the Peters-He finite-state dynamic inflow model.
A Rare Case of Primary Rectal Squamous Cell Carcinoma and the Use of Cytokeratin Markers

Lower gastrointestinal cancers are commonly adenocarcinoma of the colon and rectum and squamous cell carcinoma (SCC) of the anus. Rectal squamous cell carcinoma (SCC) is a rare gastrointestinal tract malignancy, as rectal SCC is assumed to be from the migration of anal squamous cells. However, primary rectal SCC is rarer. Here, we present a case of a 63-year-old male who was found to have rectal SCC that was very close to the anus. Through literature review, it was noted that SCC and adenocarcinoma of rectal origin stain positive for cytokeratin CAM 5.2 and not the anal canal lesions. This patient's tumor was positive for CAM 5.2. The patient was treated with 5-fluorouracil and mitomycin C with radiation therapy for five weeks. The post-therapy repeat PET scan showed complete resolution of the tumor and oligometastasis. Unfortunately, the 20-week follow-up PET CT showed para-aortic and retrocrural lymph nodes consistent with malignancy. This case emphasizes the use of immunohistochemical stains for diagnosis and treatment planning in patients with rectal SCC. Once the diagnosis was confirmed, the patient was treated as anal SCC. The importance of differentiating between rectal and anal SCC can be argued, although the treatment is the same; however, the prognosis is worse based on nodal involvement in rectal SCC. Patients with early intervention have a five-year overall disease-free survival of greater than 80%.
40Ar/39Ar dating of a hydrothermal pegmatitic buddingtonite–muscovite assemblage from Volyn, Ukraine

Abstract. We determined 40Ar/39Ar ages of buddingtonite, occurring together with muscovite, with the laser-ablation method. This is the first attempt to date the NH4-feldspar buddingtonite, which is typical for sedimentary–diagenetic environments of sediments, rich in organic matter, or in hydrothermal environments, associated with volcanic geyser systems. The sample is a hydrothermal breccia, coming from the Paleoproterozoic pegmatite field of the Korosten Plutonic Complex, Volyn, Ukraine. A detailed characterization by optical methods, electron microprobe analyses, backscattered electron imaging, and IR analyses showed that the buddingtonite consists of euhedral-appearing platy crystals of tens of micrometers wide, 100 or more micrometers in length, which consist of fine-grained fibers of ≤ 1 µm thickness. The crystals are sector and growth zoned in terms of K–NH4–H3O content. The content of K allows for an age determination with the 40Ar/39Ar method, as well as in the accompanying muscovite, intimately intergrown with the buddingtonite. The determinations on muscovite yielded an age of 1491 ± 9 Ma, interpreted as the hydrothermal event forming the breccia. However, buddingtonite apparent ages yielded a range of 563 ± 14 Ma down to 383 ± 12 Ma, which are interpreted as reset ages due to Ar loss of the fibrous buddingtonite crystals during later heating. We conclude that buddingtonite is suited for 40Ar/39Ar age determinations as a supplementary method, together with other methods and minerals; however, it requires a detailed mineralogical characterization, and the ages will likely represent minimum ages.
Exploiting Data Compression for Adaptive Block Placement in Hybrid Caches

STT-RAM (Spin-Transfer Torque Random Access Memory) appears to be a viable alternative to SRAM-based on-chip caches. Due to its high density and low leakage power, STT-RAM can be used to build massive capacity last-level caches (LLC). Unfortunately, STT-RAM has a much longer write latency and a much greater write energy than SRAM. Researchers developed hybrid caches made up of SRAM and STT-RAM regions to cope with these challenges. In order to store as many write-intensive blocks in the SRAM region as possible in hybrid caches, an intelligent block placement policy is essential. This paper proposes an adaptive block placement framework for hybrid caches that incorporates metadata embedding (ADAM). When a cache block is evicted from the LLC, ADAM embeds metadata (i.e., write intensity) into the block. Metadata embedded in the cache block are then extracted and used to determine the block’s write intensity when it is fetched from main memory. Our research demonstrates that ADAM can enhance performance by 26% (on average) when compared to a baseline block placement scheme.
Priming of central- and peripheral mechanisms with heat and cutaneous capsaicin facilitates secondary hyperalgesia to high frequency electrical stimulation.

Heat/capsaicin sensitization and electrical high frequency stimulation (HFS) are well known model of secondary hyperalgesia, a phenomenon related to chronic pain conditions. This study investigated whether priming with heat/capsaicin would facilitate hyperalgesia to HFS in healthy subjects. Heat/capsaicin priming consisted of a 45 °C heat stimulation for 5 min followed by a topical capsaicin patch (4x4 cm) for 30 minutes on the volar forearm of 20 subjects. HFS (100 Hz, 5 times 1s, minimum 1.5 mA) was subsequently delivered through a transcutaneous pin electrode approximately 1.5 cm proximal to the heat/capsaicin application. Two sessions were applied in a crossover design; traditional HFS (HFS) and heat/capsaicin sensitization followed by HFS (HFS+HEAT/CAPS). Heat pain threshold (HPT), mechanical pain sensitivity (MPS) and superficial blood perfusion were assessed at baseline, after capsaicin removal, and up to 40 min after HFS. MPS was assessed with pinprick stimulation (128 mN and 256 mN) in the area adjacent to both HFS and heat/capsaicin, distal but adjacent to heat/capsaicin and in a distal control area. HPT was assessed in the area of heat/capsaicin. Higher sensitivity to 128 mN pinprick stimulation (difference from baseline and control area) was observed in the HFS+HEAT/CAPS session than in the HFS session 20 and 30 minutes after HFS. Furthermore, sensitivity was increased after HFS+HEAT/CAPS compared to after heat/capsaicin in the area adjacent to both paradigms, but not in the area distal to heat/capsaicin. Results indicate that heat/capsaicin causes priming of the central- and peripheral nervous system, which facilitates secondary mechanical hyperalgesia to HFS.